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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: Data Platform Engineer Level: Mid-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 seeking a skilled Data Platform Engineer to design, build, evolve, and optimize our cloud infrastructure, CI/CD pipelines, and deployment processes for our global data and AI platform. You will collaborate closely with data scientists, data engineers, QA, and IT teams to streamline development workflows, improve system reliability, and ensure secure, scalable infrastructure. This is a hands-on technical role for someone who is comfortable delivering reliable data solutions and is eager to leverage new development and testing technologies. You will collaborate closely with team members and product stakeholders to ensure our data infrastructure meets evolving business needs. WHAT YOU WILL DO: · Design scalable cloud-native systems on platforms such as Amazon Web Services or Google Cloud Platform that support Spark data analytics and AI workloads · Implement Infrastructure as Code using HashiCorp Terraform · Build secure multi-account / cross-cloud environments · Optimize cost efficiency for high-scale data workloads and low latency microservices · Enable visibility on performance and cost metrics per environment and workload · Deploy and manage clusters with Kubernetes with containerized data workloads and microservices · Implement blue/green and canary deployment strategies · Build robust automations using tools such as GitHub Actions, GitLab CI/CD, or Argo Workflows · Automate testing, security scans, and compliance checks · Assist other team members in architectural choice of cloud services · Enforce a small, coherent and flexible configuration surface to reduce deployment time and improve release confidence, in collaboration with other team members · Champion DRY and DevOps principles across the team through code reviews, documentation, and shared tooling WHAT YOU WILL NEED 5+ years of experience in Data Platform Engineering, Cloud Engineering, DataOps or Site Reliability Engineering (SRE) within enterprise-scale environments Strong hands-on experience with cloud platforms such as Amazon Web Services or Google Cloud Platform Proven expertise in Infrastructure as Code using HashiCorp (or equivalent IaC tooling) Deep experience containerizing and orchestrating applications using Docker and Kubernetes · Strong experience building and maintaining CI/CD pipelines · Solid scripting skills (Bash, Python, or similar) with a strong automation-first mindset · Golang knowledge is a plus · Experience implementing observability and monitoring solutions such as Datadog, Prometheus, or the Elastic stack · Strong understanding of networking concepts (VPCs, load balancing, DNS, IAM, security groups) · Experience working with data-intensive, AI/ML, or marketing technology platforms at scale · Knowledge of security principles, security best practices, and compliance standards (e.g., GDPR) · Experience supporting multi-region, globally distributed systems · Strong collaboration and communication skills, with the ability to partner across engineering, product, and data teams · A proactive, ownership-driven mindset with a focus on reliability, scalability, and continuous improvement 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 WPP Open Intelligence The Activation team is the engineering arm of WPP Open Intelligence. We build the foundational data infrastructure and high-performance edge services that support WPP’s activation capabilities. Approximately one-third of global media spend flows through WPP, and our platform is deeply integrated with major supply-side partners across the AdTech industry. At our current scale, our edge services handle more than 60,000 classification requests per second, while our contextual classification pipelines process approximately 10,000 requests per second. With operations across the US and UK and planned expansion across EMEA and APAC, our infrastructure operates at significant global scale. We are an engineering-led team focused on building robust, scalable, highly reliable systems. Why We’re Hiring We are expanding our engineering team to support the next stage of growth and a new catalog of privacy-preserving data products. These products are designed to scale advanced targeting capabilities while protecting user privacy. Our infrastructure is expanding globally, and we are deepening integrations with leading supply-side partners in the AdTech industry. We are looking for engineers who can help us design for the next order of magnitude while keeping our systems resilient, performant, observable, and compliant. What You’ll Do As a Senior Software Engineer, you will own reliable backend services and API integrations in production. You will help drive solutions from design through delivery, raising the quality of both the systems we build and the way we operate them. You will work across partner API clients, internal APIs, workflow steps, orchestration components, and the interfaces between Open Intelligence and activation systems. We value strong software engineering fundamentals—including clean design, testable code, and sound operational practices—over allegiance to any particular framework. Design, develop, and review backend services and API integrations to a high engineering standard. Own and evolve orchestration and gateway components, including workflow steps, partner API clients, internal service APIs, and activation interfaces. Partner with Product, lead engineers, and teams across audience, data, and performance to turn requirements into durable production services. Build robust integrations with authentication, rate limiting, idempotency, retries, partial-update patterns, versioning, clear error handling, and operational runbooks. Establish and maintain production standards for CI/CD, unit and integration testing, API contract testing, observability, auditability, and safe releases. Maintain an end-to-end view of the activation flows you support, identifying dependencies, incidents, and technical debt and proposing sequenced improvements. Contribute hands-on to critical foundations such as gateways, tool registries, workflow runtimes, and guardrails hooks; mentor colleagues through design reviews, code reviews, and pairing. Who You’ll Work With You will collaborate closely with Product, lead engineers, and sibling teams across audience, data, and performance. You will contribute to an engineering-led environment where teams communicate trade-offs clearly, share ownership of end-to-end flows, and work together to improve reliability over time. What You’ll Need Substantial software engineering experience - 5+ years or equivalent depth of production ownership—in backend, platform, or API-focused roles. A track record of delivering and operating backend services, integrations, or platforms in production at meaningful scale. Strong proficiency in at least one backend language, such as Python, Go, or Java/Kotlin; Python is preferred. Experience designing and operating REST/HTTP APIs and event- or workflow-driven systems, such as asynchronous jobs, queues, durable state, or orchestration. Experience owning third-party and internal integrations, including authentication, error handling, versioning, monitoring, and partner-driven change. Experience with Git, CI/CD, and testing practices including unit, integration, and boundary or contract testing where APIs are involved. Experience with cloud platforms, containers, Kubernetes, infrastructure as code such as Terraform, and production observability through metrics, logs, or tracing. Reliability and Collaboration You communicate technical trade-offs clearly with engineers, Product, and partner teams. You surface blockers early and present practical options. You take ownership of incidents, postmortems, technical debt, and systemic improvements—not only feature delivery. You are comfortable mentoring engineers through reviews, design feedback, and clear ownership boundaries. Nice to Have Experience delivering orchestration, workflow, or agentic systems, including tool registries, policy or guardrail mechanisms, or human-in-the-loop flows. Familiarity with AdTech or MarTech concepts such as SSPs, DSPs, deals, audiences, or campaign activation. Full-stack exposure through internal user interfaces or operational tools backed by the APIs you build. Experience working in a monorepo or large shared codebase with many integration surfaces. Awareness of data privacy and the safe handling of sensitive data in distributed systems, including audit trails or decision logs. Experience mentoring engineers or leading technical design for a multi-person initiative without formal people management. Interest in using AI coding assistants and prompt engineering responsibly to improve productivity without compromising quality. 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. About Open Intelligence The Activation team within Open Intelligence builds the foundational data infrastructure and high-performance edge services that support WPP’s global media ecosystem. Our edge services currently handle more than 60,000 classification requests per second, while our contextual classification pipelines process approximately 10,000 requests per second. We operate across the US and UK and are expanding into EMEA and APAC. We are an engineering-led team focused on building robust, scalable and highly reliable systems for privacy-conscious data products and activation services. Why We’re Hiring Open Intelligence is expanding its privacy-preserving data products and global infrastructure. As we extend our operations across EMEA and APAC and deepen integrations with major supply-side partners, we need engineers who can help us scale resilient, performant and compliant activation systems. This role offers the opportunity to contribute to the next phase of our growth by building services and integrations that remain reliable as our global footprint and product capabilities expand. What You’ll Do Discuss, design and implement technical solutions for backend services and API integrations, while reviewing code in line with team standards. Build and maintain orchestration and gateway components, including workflow steps, partner API clients, internal APIs and services that connect activation systems. Collaborate with Product, Lead Engineers and sibling teams across audience, data and performance to deliver reliable production services. Strengthen third-party and internal integrations through authentication, retries, idempotency, rate limiting and clear error handling. Write and maintain unit, integration and contract tests, contributing to CI/CD practices and safe releases. Improve observability and auditability through structured logging, metrics, tracing and traceable actions aligned with campaign and orchestration requirements. Take part in operational ownership by investigating incidents, fixing bugs, updating runbooks, addressing technical debt and sharing knowledge with the team. Who You’ll Be Working With You’ll join an engineering-led team working closely with Product, Lead Engineers and colleagues across audience, data and performance. You’ll receive guidance from experienced engineers while taking ownership of the services and integrations you help build and maintain. What You’ll Need +3y Professional experience in software engineering, typically around three or more years in backend, platform or API-focused roles—or equivalent practical experience. Experience building and operating backend services and APIs in production, including REST/HTTP services or webhooks. Strong proficiency in at least one backend language such as Python, Go, Java or Kotlin. Python is preferred. Experience integrating external or internal APIs, including authentication, pagination, request and response handling, error models and operational debugging. Experience with Git, unit and integration testing, contract testing or equivalent quality practices, and CI/CD. Experience with a cloud platform such as GCP, AWS or Azure, plus containerized deployment. Exposure to Docker or Kubernetes is beneficial. Familiarity with asynchronous or event-driven systems such as queues, background jobs or workflow steps, together with an interest in infrastructure as code and production observability. Nice to Have You do not need to meet every point below. Experience in any of these areas would be welcome: Workflow or orchestration systems, including state machines, durable jobs or schedulers. Small internal tools or user interfaces that consume the APIs you build. AdTech or MarTech data, SSP/DSP concepts or campaign activation terminology. Working in a monorepo or large shared codebase. Handling sensitive data and applying privacy principles in distributed systems. Infrastructure as code, such as Terraform, and mature observability practices. AI-assisted development, prompt engineering or agentic and tool-registry patterns, used thoughtfully and responsibly. 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’re growing the data engineering capability behind ad-tech solutions that process large-scale, real-time audience data. In this role, you’ll take deep technical ownership of the data model that supports targeting and measurement decisions for advertisers at scale. You’ll help evolve a complex, interconnected data platform while working with modern distributed processing technologies and a highly collaborative engineering team. Who you’ll be working with You’ll work closely with data engineers and colleagues across Quality Assurance, Analytics and connector teams. We value teamwork over ego, collaboration over competition, open and honest communication, strong opinions held with curiosity, and continuous improvement through kaizen. Our technology environment Scala-based backend services Google Cloud Platform (GCP) Apache Spark for large-scale distributed data processing Parquet and BigQuery Tyda, an open-source, automation-driven software development lifecycle process What you’ll do Own and evolve a core data model spanning input and output models, field types and partitioning strategies across multiple pipeline stages. Maintain and extend a multi-layered audience segmentation framework, normalising raw data into standardised and canonical representations across dimensions such as location, age, gender, interests and brand affinity. Work across a broad modelling surface, including audience types, behavioural signals, relational structures, embeddings and anomaly detection. Develop and maintain Spark-based data jobs in an environment using Scala, GCP, Parquet and BigQuery, with a clear understanding of end-to-end data flow. Partner with Quality Assurance, Analytics and connector teams to ensure data correctness, integrity and reliable downstream use. Write production-ready code that is readable, testable, performant and resilient to edge cases and failures. Contribute to team practices, continuous improvement and constructive peer feedback while taking ownership of data quality and engineering standards. What you’ll need 5+ years of experience in data engineering, with a strong record of delivering complex, multi-layer data pipelines. Experience with Scala or a similar strongly typed or advanced functional programming language; you’re comfortable reasoning about complex type systems and willing to develop further in Scala. Experience with Apache Spark and large-scale distributed data processing. 3+ years of experience with GCP and big-data stores such as BigQuery. The ability to build a clear mental model of a large, interconnected data domain and reason about how changes in one area affect others. Strong communication skills, with the ability to explain complex data models and technical decisions to both technical and non-technical stakeholders. Experience with data monitoring, detection, troubleshooting and validation frameworks, together with a track record of delivering well-designed, well-tested and performant solutions in an agile 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. 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. 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. 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.