Careers at WPP

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. About WPP Open Intelligence WPP Open Intelligence’s Activation team builds the foundational data infrastructure and high-performance edge services that support WPP’s position in the market. Our platform is deeply integrated with leading supply-side partners in the AdTech industry. Our edge services handle more than 60,000 classification requests per second, while our contextual classification pipelines process 10,000 requests per second. With operations spanning the US and UK and continued expansion across EMEA and APAC, our engineering team builds robust, scalable, reliable, and privacy-conscious systems at global scale. Why We’re Hiring We are expanding our engineering team as we develop a new generation of privacy-preserving data products, extend our infrastructure across EMEA and APAC, and deepen our integrations with leading supply-side partners. As a Junior Data Engineer , you will contribute to this next stage of growth while learning from experienced engineers. You will help build reliable data systems that are performant, scalable, and designed with privacy and responsible data use in mind. What You’ll Do Develop, test, and review data pipelines and related code using team standards, with guidance from experienced engineers. Work with product managers, analysts, and data scientists to implement well-defined features and improvements. Build and maintain data-quality checks, documentation, and basic governance practices. Support investigations into pipeline failures, data inconsistencies, and operational issues, contributing fixes with mentorship. Build familiarity with the data platform, tooling, and codebase through hands-on development, feedback, and code reviews. Ask questions, share learnings, and contribute ideas that improve team practices, data quality, and reliability. Who You’ll Work With You will work closely with data engineers, software engineers, product managers, analysts, and data scientists. You will report to a Lead Engineer and collaborate with colleagues supporting WPP Open Intelligence’s growing global infrastructure. What You’ll Need Early-career experience in data engineering, analytics engineering, software development with a data focus, or a related internship, graduate role, course, personal project, bootcamp, or open-source contribution. Practical experience working with data in at least one programming language such as Python, Go, or Scala. A basic understanding of software engineering fundamentals, algorithms, data structures, and data processing. Familiarity with Git, testing, or basic CI/CD workflows—or the motivation to develop these skills. Exposure to a cloud platform such as GCP, AWS, or Azure, or a strong interest in learning cloud practices in a production environment. Clear communication skills, including the confidence to explain your work, ask questions, and seek support when needed. Curiosity about data quality, privacy, reliability, and continuous learning. You do not need to be an expert in every technology listed in this advert. We value strong fundamentals, a willingness to learn, and the ability to apply new concepts thoughtfully. Nice to Have Familiarity with Spark or another distributed data-processing framework. Experience with SQL, batch processing, or stream processing. Exposure to Docker, Kubernetes, Terraform, or other infrastructure and deployment tools. Experience contributing to a monorepo or large shared codebase. Familiarity with AdTech, MarTech, data privacy, or responsible handling of sensitive data. Side projects, coursework, bootcamp work, or open-source contributions involving data pipelines or software development. Who you are: You're open : We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic : We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Hybrid We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice ( https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment ) for more information on how we process the information you provide.

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: We are seeking a highly skilled and experienced Senior Data Engineer to join our growing data team. In this critical role, you will be instrumental in designing, building, and optimizing our scalable data lakehouse platform using Google BigQuery or Databricks. You will be a key player in developing robust data pipelines that ingest data from various sources, including Google Analytics 4 (GA4), and transform it into reliable, analysis-ready datasets within the lakehouse environment. This role requires deep expertise in modern lakehouse platforms – Google BigQuery and/or Databricks – together with strong skills in SQL, Python, and Apache Spark (PySpark), along with strong hands-on experience across Azure, AWS, and GCP cloud environments, as our data ecosystem spans multiple cloud platforms. You will be responsible for the entire data lifecycle within the lakehouse, from ingestion and transformation to governance and optimization, ensuring data quality and performance. You should be adept at analyzing performance bottlenecks in Spark jobs and BigQuery workloads, providing enhancement recommendations, and collaborating effectively with both technical and non-technical stakeholders. What you'll be doing: Design, build, and deploy robust ETL/ELT pipelines within the lakehouse platform (Google BigQuery or Databricks) using SQL, Python, PySpark, and Spark SQL. Implement and manage the Medallion Architecture (Bronze, Silver, Gold layers) using Delta Lake or BigQuery datasets to ensure data quality and progressive data refinement. Leverage native ingestion tooling – such as BigQuery Data Transfer Service, Pub/Sub streaming, or Databricks Auto Loader – for efficient, scalable, and incremental ingestion of data from sources like GA4 into the Bronze layer. Develop, schedule, and monitor complex, multi-task data workflows using Cloud Composer (Airflow), BigQuery scheduled queries, or Databricks Workflows. Optimize BigQuery tables (partitioning, clustering, materialised views) and Spark jobs / Delta Lake tables (using techniques like OPTIMIZE, Z-ORDER, and partitioning) for high performance and cost efficiency. Implement data governance, security, and discovery using Dataplex / BigQuery policy tags or Unity Catalog, including managing access controls and data lineage. Write complex, customized SQL queries to manipulate data and support ad-hoc analytical requests from business teams. Develop strategies for data ingestion from multiple sources, using various techniques including streaming, API consumption, and replication. Document data engineering processes, data models, and technical specifications for the lakehouse platform. Conform to agile development practices, including version control (Git), continuous integration/delivery (CI/CD), and test-driven development. Provide production support for data pipelines, actively monitoring and resolving issues to ensure the continuous flow of critical data. Collaborate with analytics and business teams to understand data requirements and deliver well-modelled, performant datasets in the gold layer What you'll need: Education: Minimum of a bachelor’s degree in computer science, Engineering, Mathematics, or a related technical field preferred. Experience: 8+ years of relevant experience in data engineering, with a significant focus on building data pipelines on distributed systems. Engineer's Core Skills: Lakehouse Platform Expertise (Google BigQuery and/or Databricks) BigQuery: Deep, hands-on experience with BigQuery architecture, including partitioning, clustering, materialised views, slot/cost optimisation, and diagnosing query performance using query plans and INFORMATION_SCHEMA. Apache Spark / Delta Lake: Strong experience with Spark architecture, writing and optimising PySpark and Spark SQL jobs, and building reliable pipelines on Delta Lake. Proficient with ACID transactions, time travel, schema evolution, and DML operations (MERGE, UPDATE, DELETE). Data Ingestion: Experience with modern ingestion tools, such as BigQuery Data Transfer Service, Pub/Sub / Dataflow streaming, Databricks Auto Loader, and COPY INTO for scalable file processing. Data Governance: Strong understanding of data governance concepts and practical experience implementing security, lineage, and discovery using Dataplex, BigQuery IAM and policy tags, or Unity Catalog. Core Engineering & Cloud Skills: Programming: 5+ years of strong, hands-on experience in Python, with an emphasis on PySpark for large-scale data transformation. SQL: 6+ years of advanced SQL experience, including complex joins, window functions, and CTEs. Cloud Platforms: 8+ years of strong, hands-on experience working across all three major cloud platforms – Azure, AWS, and GCP – including expertise in cloud storage (ADLS Gen2, S3, Google Cloud Storage), security and identity management (Azure AD/Entra ID, AWS IAM, GCP IAM), and cloud networking. Proven ability to design, deploy, and support data solutions in multi-cloud environments. Data Modeling: Experience designing star schemas and applying data warehouse methodologies to build analytical models (Gold layer). CI/CD & DevOps: Hands-on experience with version control (Git) and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps) for automating the deployment of BigQuery and Databricks assets. Tools & Technologies: Primary Data Platform: Google BigQuery or Databricks Cloud Platforms: Azure, AWS, and GCP (strong hands-on experience across all three required) Data Warehouses (Integration): Snowflake Orchestration/Transformation: Cloud Composer (Airflow), Databricks Workflows, dbt (data build tool) Version Control: Git/GitHub or similar repositories Infrastructure as Code (Bonus): Terraform BI Tools (Bonus): Looker or Power BI Who you are: You're open : we are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic : we approach all that we do with confidence: to try the new and to seek the unexpected. You're extraordinary: We are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – we champion a culture of people that do extraordinary work Scale and opportunity – we offer the opportunity to create, influence and deliver projects at a scale that is unparalleled in the industry. Challenging and stimulating work – unique work and the opportunity to join a group of creative problem solvers. #LI-Hybrid We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice ( https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment ) for more information on how we process the information you provide.

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Title: Lead Software Engineer Level: Lead Engineer, Data & Technology Solutions Location: Copenhagen Reporting to: Director of Engineering About Open Intelligence: We are the Activation arm of WPP Open Intelligence. Our team builds the foundational data infrastructure and high-performance edge services that power WPP’s position in the market. With approximately one-third of all global media spend flowing through WPP, our platform operates at the core of this massive network-deeply integrated and adopted by the largest supply-side partners in the AdTech industry. Operating at our scale presents unique engineering challenges. Our edge services currently handle over 60,000 classification requests per second, while our contextual classification pipelines process 10,000 requests per second. With operations spanning the US, UK, and ongoing expansion into EMEA and APAC, our infrastructure continuously interacts with up to 98% of the population in our active markets. We are an engineering-led team focused on building robust, scalable, and highly reliable systems. WHO WE ARE LOOKING FOR We are looking for a Lead Software Engineer who thrives on owning backend systems end to end — architecture, delivery, and the people who build them. You care more about sound software design, reliable APIs, and clear ownership than about any single framework or language. You are comfortable setting technical direction for a squad, mentoring engineers, and turning product roadmap into shippable, versioned contracts. Hands-on when it matters, you design and operate services, partner integrations, and orchestration components in production — authentication, retries, idempotency, rate limiting, and the operational discipline that keeps live systems healthy. You are likely highly proficient in a backend language such as Python, Go, or Java/Kotlin, and experienced with cloud platforms, containers/Kubernetes, CI/CD, and production observability. Interest in infrastructure as code (e.g. Terraform), durable workflows, and AI coding assistants is a plus when it helps the team ship faster without lowering the quality bar. Beyond the technical craft, you are a strong communicator who can explain trade-offs to engineers, Product, and non-technical stakeholders, and align sibling teams on interfaces. You take ownership of reliability and technical debt for the systems your squad runs, escalate blockers early with clear options, and are motivated by growing both the platform and the engineers who build it. WHY ARE WE HIRING We are at a critical inflection point in our growth and need to scale our engineering team to tackle an expanding set of complex challenges. As the digital ecosystem evolves, we are actively developing and releasing a new catalog of privacy-preserving data products. These solutions are designed to scale advanced targeting capabilities while remaining uncompromising on our promise to protect user privacy. To support this product evolution, our infrastructure is undergoing massive global expansion. By the end of this year, we will be fully operational across the rest of the EMEA and APAC regions. Concurrently, we are deepening our integrations to support even more of the largest supply-side partners in the AdTech industry. We are hiring because we need strong engineering talent to help us architect for this next order of magnitude in scale-ensuring our systems remain resilient, performant, and compliant as our global footprint and feature set rapidly expand. WHAT YOU WILL DO: · Lead an engineering squad: set technical direction, prioritize delivery, run design and code reviews, and grow engineers through mentoring and clear ownership. · Own the architecture and health of activation and orchestration services — API, databases, partner gateways, internal integrations, MCP and agentic integrations. · Partner with Product and sibling teams to turn roadmap phases into shippable, versioned contracts — not ad hoc integrations. · Drive API integration engineering: authentication, rate limiting, idempotency, retries, partial-update patterns, and runbooks as partner APIs evolve. · Establish and uphold production standards — CI/CD, testing, observability, auditability, and safe release practices. · Keep an end-to-end overview of how data flow through activation — what is live, what is in progress, and where dependencies or technical debt block the next phase. · Contribute hands-on where it matters: critical paths, new gateways, framework foundations (e.g. tool registry, workflow runtime, guardrails hooks). · Identify and address technical debt deliberately; balance speed with reliability for systems that support live campaigns. · Share knowledge in design reviews, stand-ups, and cross-team forums; escalate blockers early with clear options. · Stay curious about agentic orchestration, durable workflows, and AI coding assistants to improve how the team designs and ships software. WHAT YOU WILL NEED · Strong communication — you explain trade-offs to engineers, product, and non-technical stakeholders and align multiple teams on interfaces. · 6+ years in software engineering with 2+ years leading engineers or owning a significant technical area (team lead, staff, or equivalent). · Proven delivery of backend and API-centric systems in production — services, integrations, or platforms at meaningful scale. · Solid experience building and operating REST/HTTP APIs and event- or workflow-driven systems (durable state, async jobs, or orchestration). · Comfort owning third-party integrations — auth, errors, versioning, operational monitoring, and partner-driven change. · Strong proficiency in at least one backend language (e.g. Python, Go, or Java/Kotlin) and sound software design (patterns, testing, code review). · Experience with CI/CD, Git, and testing — unit, integration, and boundary/contract tests where APIs matter. · Experience with cloud platforms (GCP, AWS, or Azure) and deploying services with containers and Kubernetes. · Familiarity with infrastructure as code (e.g. Terraform) and production observability (metrics, logs, tracing). · A track record of technical debt and reliability ownership — incidents, postmortems, and systemic fixes, not one-off firefighting. · Interest in leveraging AI coding assistants and prompt engineering to improve team productivity without lowering the production bar. NICE TO HAVE · Experience leading delivery of orchestration, workflow, or agentic systems (tool registries, policy/guardrails, human-in-the-loop flows). · Full-stack exposure — internal UIs or ops tools (e.g. change logs, escalations) backed by the same APIs you own. · Familiarity with AdTech / MarTech — SSPs, DSPs, deals, audiences, or campaign activation terminology. · Experience in a monorepo or large shared codebase with many integration surfaces. · Awareness of data privacy and safe handling of sensitive data in distributed deployments. · Prior work on audit trails or decision logs for high-trust or automated systems. If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both our clients, we encourage you to apply and join our team. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice ( https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment ) for more information on how we process the information you provide.

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: As a member of the Global Technical Operations (TechOps), you will be a part of a team that focuses on operational reliability within a cloud-based infrastructure. You have hands-on cloud experience in architecting, building, deploying, managing databases, compute instances, and storage buckets. You have a passion for providing solutions through automation. You know that success is through collaboration and communication. What you'll be doing: Work in cross-functional teams to develop solutions and identify opportunities to bring efficiency and effectiveness. Research, evaluate, and incorporate new technologies/concepts into existing frameworks. Proactively identify areas to improve efficiency and effectiveness, recommend and implement solutions towards them. Develop and innovate operational practices, procedures for workflows, and documentation. Implement and contribute to IT security best practices. Automate tasks to ensure consistency and speed of deployment. Identify, analyze, and troubleshoot issues and work towards resolution. Explain technical solutions to both technical and non-technical people. Provide technical leadership/guidance to other members. Participates in on-call rotation. Work with a limited set of requirements. Context switch between assignments / projects and performing daily tasks. Act as a liaison and partner between TechOps and other groups. Pick up new responsibilities as required. What you'll need: Recent hands-on experience (10+ years) as a Cloud Engineer/DevOps/SRE (GCP). Proven work experience in automating tasks within a cloud-based environment, using infrastructure coding tools (Terraform, Open Tofu, Terragrunt). Experience with architecting GCP Tenants and folder structure Experience with architecting Infrastructure CI/CD pipelines Experience with configuration management tools (Ansible preferred). Experience with container orchestration and management platforms (Kubernetes, Helm). Solid understanding of networking concepts. Solid understanding of security concepts. Experience with monitoring tools (Datadog, Stackdriver). Experience with at least one programming and/or scripting language (Go, Python or Bash). Skilled in presentation and documentation. Troubleshooting and analytical skills. Time and project management skills. Who you are: You're open : we are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic : we approach all that we do with confidence: to try the new and to seek the unexpected. You're extraordinary: We are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – we champion a culture of people that do extraordinary work Scale and opportunity – we offer the opportunity to create, influence and deliver projects at a scale that is unparalleled in the industry. Challenging and stimulating work – unique work and the opportunity to join a group of creative problem solvers. #LI-Hybrid We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice ( https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment ) for more information on how we process the information you provide.

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. About Data & Technology Solutions WPP’s Data & Technology Solutions is WPP’s unified global data products and technology team. We work with our agencies and clients to build data-driven solutions and technology products to power marketing transformation. At the heart of this is WPP Open - our AI platform for marketing that connects professionals, data, tools, and AI in a single place. It is the simplest, safest, and fastest way to realize the benefits of scaled AI, delivering better-informed creative ideas faster, at scale, and at lower cost. We’re endlessly curious, and our team of thinkers, builders, creators, and problem solvers is over 2,000 strong across 20 markets around the world. Why we're hiring: We are looking for a Data Engineer to join our Open Intelligence initiative. In this hands-on technical role, you will build and maintain core data capabilities, pipelines, and innovative features that power our global media ecosystem. You bring strong communication skills, an understanding of brand, adtech, and marketing data, and a commitment to engineering reliable, scalable pipelines. You’ll collaborate closely with teammates and product stakeholders to ensure our data infrastructure evolves with the business while actively leveraging modern development and testing technologies. If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both our clients, we encourage you to apply and join our team. What you'll be doing: Discuss & propose technical solutions, develop & review code following best practices and patterns. Collaborate with both our Product organization and analysts and data scientists in Open Intelligence to add new features or changes to existing ones and translate those requirements into reliable, production-level components. Contribute to designing and building strong data governance and quality frameworks to ensure data production is accurate and work consistently throughout its lifetime. Contribute to identifying and addressing technical debt and inefficiencies within our data platform. Stay curious and proactive, explore new tools, techniques, and technologies that can help us move faster and smarter. Be happy to share knowledge in dedicated sessions and stand-ups. What you'll need: Strong communication skills, you can effectively explain technical concepts to various audiences. 2+ years of experience in data engineering. Solid experience with data wrangling in a language such as Python, Go, or Scala. Proficiency in large scale processing engines and related ecosystems (Spark Experience working with CI/CD, version control, and testing best practices. Experience with cloud-based platforms like GCP, AWS, or Azure. Experience working with infrastructure as code tools like Terraform. Experience with containerization management tools like Kubernetes. A passion for data, technology, and computer languages. Interest in leveraging AI coding assistants and prompt engineering to enhance productivity. Nice to have: Familiarity with AdTech- and/or MarTech data and terminology. Experience with monorepo codebase. Experience with data privacy engineering technologies and best practices in handling sensitive data. Who you are: You're open : We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic : We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Hybrid We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice ( https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment ) for more information on how we process the information you provide.

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Location Requirement This is a hybrid role based in Copenhagen, Denmark. Candidates must currently reside in Denmark or be willing to relocate independently, as relocation support is not provided for this position. Why we're hiring: WPP’s Data & Technology Solutions is the WPP’s unified global data products and technology team. We work with our agencies and clients to build data data-driven solutions and technology product to power marketing transformation. WPP Open is our AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. WPP Open is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost. We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world. What you'll be doing: Design, develop, test, and deploy scalable software applications Write clean, maintainable, and well-documented code Participate in code reviews and technical discussions Collaborate with product, design, and QA teams to deliver features Troubleshoot and resolve software defects and performance issues Contribute to system architecture and technical decisions Implement security and data protection best practices Continuously improve development processes and code quality What you'll need: We are seeking a talented Software Engineer to design, develop, test, and maintain scalable software solutions. You will work closely with cross-functional teams including Product, Design, QA, and DevOps to deliver high-quality applications that meet user and business needs. Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience) 5+ years of professional software development experience Proficiency in one or more programming languages - Scala preffered or Rust, C#, Go Expert knowledge of IaC(Infrastructure as Code) patterns and frameworks Experience building RESTful APIs and web applications Familiarity with databases (SQL and/or NoSQL) and caching (Redis) Experience with cloud (GCP/Azure/AWS) technologies Strong problem-solving and analytical skills If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both our clients, we encourage you to apply and join our team Who you are: You're open : We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic : We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Hybrid We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice ( https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment ) for more information on how we process the information you provide.

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Title: Junior Data Scientist Level: Junior-Level Engineer, Data & Technology Solutions Location: Copenhagen Reporting to: Lead Engineer About Open Intelligence: We are the Activation arm of WPP Open Intelligence. Our team builds the foundational data infrastructure and high-performance edge services that power WPP’s position in the market. With approximately one-third of all global media spend flowing through WPP, our platform operates at the core of this massive network—deeply integrated and adopted by the largest supply-side partners in the AdTech industry. Operating at our scale presents unique engineering challenges. Our edge services currently handle over 60,000 classification requests per second, while our contextual classification pipelines process 10,000 requests per second. With operations spanning the US, UK, and ongoing expansion into EMEA and APAC, our infrastructure continuously interacts with up to 98% of the population in our active markets. We are an engineering-led team focused on building robust, scalable, and highly reliable systems. WHO WE ARE LOOKING FOR We are looking for a Junior Data Scientist who is curious about turning data into clear, trustworthy insights. You care more about sound statistical thinking, clean analysis, and honest communication of limitations than about chasing any specific tool or model. You are comfortable learning team standards for exploratory analysis, experimentation, and reproducible work, then delivering well-scoped analyses, metrics, and model-backed features under guidance from senior data scientists and engineers. You help define questions, validate assumptions, and document findings stakeholders can act on. You support building and evaluating models for defined problems, contribute to data quality and feature understanding, and investigate metric or model anomalies with mentorship. You bring strong hands-on skills in Python or R plus solid SQL, a solid grasp of core statistics and machine learning concepts, and familiarity with visualization and storytelling. Experience with notebooks or scripts, Git, and basic validation of analysis code matters; some exposure to a cloud or modern data stack — or strong motivation to learn in production — is enough to start. Openness to AI coding assistants to learn and work more effectively is welcome. Beyond the technical craft, you communicate clearly with both technical and non-technical audiences, ask questions when stuck, and share learnings in stand-ups. You take ownership of the quality of your analysis and are motivated by continuous learning, experimentation, and growing into production data science with the team. WHY ARE WE HIRING We are at a critical inflection point in our growth and need to scale our engineering team to tackle an expanding set of complex challenges. As the digital ecosystem evolves, we are actively developing and releasing a new catalog of privacy-preserving data products. These solutions are designed to scale advanced targeting capabilities while remaining uncompromising on our promise to protect user privacy. To support this product evolution, our infrastructure is undergoing massive global expansion. By the end of this year, we will be fully operational across the rest of the EMEA and APAC regions. Concurrently, we are deepening our integrations to support even more of the largest supply-side partners in the AdTech industry. We are hiring because we need strong engineering talent to help us architect for this next order of magnitude in scale—ensuring our systems remain resilient, performant, and compliant as our global footprint and feature set rapidly expand. WHAT YOU WILL DO: · Learn and apply team standards for exploratory analysis, experimentation, and reproducible data science work. · Partner with product, analysts, and data engineers to deliver well-scoped analyses, metrics, and model-backed features under guidance from senior data scientists and engineers. · Help define questions, validate assumptions, and document findings so stakeholders can act on clear, trustworthy insights. · Support building and evaluating models or statistical approaches for defined problems, including basic monitoring and sanity checks after deployment. · Contribute to data quality checks, feature understanding, and lightweight governance so inputs and outputs stay reliable and interpretable. · Investigate anomalies in metrics or model behavior, document root causes, and implement fixes or escalations with mentorship. · Stay curious and proactive: ask questions, share learnings in stand-ups, and explore methods and tools that help the team move faster and smarter. WHAT YOU WILL NEED · Clear communication skills and the ability to explain analysis, limitations, and recommendations to technical and non-technical audiences. · Up to ~2 years of experience in data science, analytics, applied statistics, or a related internship/graduate role. · Strong hands-on skills in Python or R for analysis, plus solid SQL for querying and transforming data. · Solid grasp of statistics and core machine learning concepts (e.g. regression, classification, evaluation metrics, train/test splits, overfitting). · Experience producing clear analysis in notebooks or scripts, with version control (Git) and basic testing or validation of analysis code. · Comfort working with structured (and ideally some unstructured) datasets; experience cleaning, joining, and aggregating data for analysis. · Familiarity with visualization and storytelling (e.g. Matplotlib, Seaborn, Plotly, ggplot, or BI tools) to communicate results effectively. · Some exposure to a cloud or modern data stack (GCP, AWS, or Azure; warehouses, batch pipelines, or feature stores), or strong motivation to learn in production. · Enthusiasm for data, experimentation, and continuous learning. · Openness to using AI coding assistants and prompt engineering to learn faster and work more effectively. NICE TO HAVE · Familiarity with AdTech- and/or MarTech data, metrics, and terminology. · Experience with experiment design, A/B testing, or causal thinking at a basic level. · Exposure to MLOps concepts (model packaging, batch scoring, simple monitoring) or collaboration with data engineering on pipelines. · Experience contributing in a monorepo or large shared codebase. · Awareness of data privacy basics and responsible handling of sensitive data. · Portfolio, Kaggle, coursework, or side projects demonstrating end-to-end analysis or modeling. If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both our clients, we encourage you to apply and join our team. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. #LI-Hybrid We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice ( https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment ) for more information on how we process the information you provide.

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: Open Intelligence (OI) is one of WPP’s most strategic bets - a flagship data and AI initiative at the intersection of machine learning, advertising technology, and audience insight, built to power the next generation of media intelligence. Operating across the US and UK and expanding across EMEA and APAC, OI runs at true global scale. To lead the next phase of development at the embedding and applied-AI layer of OI, we are hiring a Data Science Team Lead in Copenhagen. You will guide a small, sharp team building critical capabilities - from multimodal embedding spaces and Model Context Protocol (MCP) servers to agentic tools and UIs - that make the rest of OI’s AI ecosystem thrive. What you'll be doing: Line-manage and grow the team : Drive 1:1s, recruitment, performance, mentorship, and day-to-day technical and team direction. Own technical architecture & direction : Lead the technical vision and design for well-distributed multimodal embedding spaces (text, image, video), MCP server tooling, and user-facing chat agents + UI. Translate strategy into action : Take high-level, ambiguous direction from leadership and stakeholders, shape it into a clear narrative, and break it down into concrete, well-scoped projects. Uphold a high engineering bar : Set and maintain high standards for clean architecture, system design, and testable code while keeping delivery pragmatic and incremental. Communicate impact : Clearly articulate the team’s work, architectural decisions, and business value upward to leadership and across the wider Open Intelligence organization. Stay hands-on : Keep close enough to the code and technical stack to make sound architectural calls, conduct code reviews, and unblock the team. Who you'll be working with: You’ll report directly to the Director of Data Science, Open Intelligence, and join our vibrant Copenhagen office of ~50 people, including 14+ data scientists and a strong engineering group. We operate fluidly across closely collaborating teams. Our culture is flat, high-trust, and fast-moving: strong opinions loosely held, teamwork over ego, aiming high, and having fun along the way. What you'll need: Solid understanding of software architecture, system design, clean code principles, and testability. (We lean toward an engineering-minded lead, but strongly technical Data Scientists or ML Engineers with engineering instincts are very welcome). Deep proficiency in Python and cloud experience (ideally GCP — Vertex AI, Cloud Run, BigQuery). Hands-on experience with embeddings, vector search, LLM tooling, and agentic workflows (experience with MCP / Model Context Protocol is a strong plus). Demonstrated ability to untangle ambiguity and turn broad goals into shipped, high-quality production systems. Ability to shape complex technical concepts into compelling, easy-to-understand storylines for technical and non-technical stakeholders alike. Note: Direct people-leadership experience is a plus, but not a mandatory requirement if you have strong technical/project leadership instincts. Success attributes: You untangle ambiguity rather than being intimidated by it. Pragmatic perfectionist: high standards, incremental delivery. Low ego, high trust; you make the people around you better. Thrive in a fast-paced, flat, entrepreneurial environment. Who you are: You're open : We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic : We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Hybrid We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice ( https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment ) for more information on how we process the information you provide.

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects. Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks . As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks. As a hands-on technologist with an extensive data engineering background using Databricks , you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration. What you'll be doing: Design, build, test and maintain data pipelines (ELT), according to business and technical requirements. Implement secure platforms with data governance in mind. Play a key role in automation and building industry leading solutions against architectural best practices. Propose technical designs and develop integrations. Deliver data migrations between legacy & modern platforms Design & deliver data warehousing solutions and key data engineering workstreams for any required solution. Support cross-functional teams across the data space. What you'll need: Minimum requirements for this role include: 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models 3+ years of experience in Python and SQL Experience using Databricks platform and PySpark is a must. Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault Ideally experience in the following – Kafka, Delta Lake, Pandas A demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices, unit & integration tests and development practices using Azure DevOps. Fluency in English. Exposure to AI & ML technologies is a plus. Who you are: You're open : we are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic : we approach all that we do with confidence: to try the new and to seek the unexpected. You're extraordinary: We are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – we champion a culture of people that do extraordinary work Scale and opportunity – we offer the opportunity to create, influence and deliver projects at a scale that is unparalleled in the industry. Challenging and stimulating work – unique work and the opportunity to join a group of creative problem solvers. #LI-Hybrid We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice ( https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment ) for more information on how we process the information you provide.

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: The Data Engineer is responsible for the design, development, and implementation of scalable data solutions across the Azure Databricks platform supporting AUNZ. This role focuses on building and maintaining data pipelines using Databricks (Unity Catalog, DABs, DLT), PySpark, and SQL, delivering enterprise-scale data transformation, and supporting Power BI reporting through well-modelled silver/gold layer datasets. The Data Engineer works closely with the Head of Data & Analytics to execute technical scoping and delivery against business requirements. What you'll be doing: KRA 1 Data Pipeline Development • Design, build, test, and maintain data pipelines (ELT) using Databricks, Delta Live Tables, and Databricks Asset Bundles, according to business and technical requirements. • Manage data workflows and orchestration; ensure accuracy and availability of all ELT processes. • Design and deliver silver/gold layer data models within the medallion architecture to support downstream reporting. KRA 2 Platform & Governance • Implement secure platforms with Unity Catalog - access controls, data lineage, and discovery. • Apply CI/CD and DevOps practices (GitHub Actions) for deployment, testing, and release management. • Play a key role in automation, building solutions against architectural best practice. KRA 3 Solution Delivery & Documentation • Propose technical designs and develop integrations, including application data connections via APIs. • Execute data migrations as scoped and directed by the Head of Data & Analytics. • Maintain clear documentation of pipelines, data models, and technical logic within the engineering layer. • Provide technical input during requirements scoping sessions with the Head of Data & Analytics. What you'll need: • 3+ years' experience designing and building scalable distributed data pipelines and dimensional data models. • 3+ years' experience in Python and SQL. • Experience using the Databricks platform and PySpark is required (Unity Catalog, DABs, DLT). • Experience with Azure data services - ADLS Gen2, Azure Key Vault, Azure SQL. • Demonstrable understanding of CI/CD and Agile practices, including unit/integration testing. • Exposure to AI & ML technologies is a plus. Who you are: You're open : we are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic : we approach all that we do with confidence: to try the new and to seek the unexpected. You're extraordinary: We are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – we champion a culture of people that do extraordinary work Scale and opportunity – we offer the opportunity to create, influence and deliver projects at a scale that is unparalleled in the industry. Challenging and stimulating work – unique work and the opportunity to join a group of creative problem solvers. #LI-Hybrid We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice ( https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment ) for more information on how we process the information you provide.