Careers at Super Group

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Machine Learning Engineer in our Applied ML & Research team at Super, you will drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. You will lead by example, contribute high-quality code, and help shape the ML roadmap through cross-functional collaboration. What the role involves Partner with product and engineering teams to identify and execute machine learning use cases that deliver measurable impact. Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components). Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring. Implement reliable training and inference pipelines, and help improve reproducibility, testing, and observability. Communicate model behaviour, trade-offs, and results clearly to both technical and non-technical stakeholders. Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices. What we are looking for Bachelor's degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field. 2+ years of industry experience building and deploying ML systems. Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL. Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies. Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices. Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively. Nice to have Familiarity with ML tooling such as MLflow, ZenML, or Metaflow. Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito). Exposure to streaming data platforms such as Kafka. Contributions to open-source ML projects. Master's degree in a relevant field. What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development Additional benefits vary by country and will be shared during the hiring process. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Machine Learning Engineer in our Applied ML & Research team at Super, you will drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. You will lead by example, contribute high-quality code, and help shape the ML roadmap through cross-functional collaboration. What the role involves Partner with product and engineering teams to identify and execute machine learning use cases that deliver measurable impact. Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components). Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring. Implement reliable training and inference pipelines, and help improve reproducibility, testing, and observability. Communicate model behaviour, trade-offs, and results clearly to both technical and non-technical stakeholders. Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices. What we are looking for Bachelor's degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field. 2+ years of industry experience building and deploying ML systems. Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL. Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies. Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices. Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively. Nice to have Familiarity with ML tooling such as MLflow, ZenML, or Metaflow. Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito). Exposure to streaming data platforms such as Kafka. Contributions to open-source ML projects. Master's degree in a relevant field. What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development Additional benefits vary by country and will be shared during the hiring process. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Machine Learning Engineer in our Applied ML & Research team at Super, you will drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. You will lead by example, contribute high-quality code, and help shape the ML roadmap through cross-functional collaboration. What the role involves Partner with product and engineering teams to identify and execute machine learning use cases that deliver measurable impact. Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components). Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring. Implement reliable training and inference pipelines, and help improve reproducibility, testing, and observability. Communicate model behaviour, trade-offs, and results clearly to both technical and non-technical stakeholders. Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices. What we are looking for Bachelor's degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field. 2+ years of industry experience building and deploying ML systems. Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL. Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies. Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices. Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively. Nice to have Familiarity with ML tooling such as MLflow, ZenML, or Metaflow. Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito). Exposure to streaming data platforms such as Kafka. Contributions to open-source ML projects. Master's degree in a relevant field. What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development Additional benefits vary by country and will be shared during the hiring process. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. Product Security is responsible for preventing vulnerabilities before code ships, absorbing on-demand security-testing load, and making security testing part of everything that reaches production. This role owns the team's deep offensive capability, running adversary emulation and bypass testing against production systems and providing the technical depth behind the team's hardest architecture reviews. Reporting to the Product Security Lead, the Principal AppSec Engineer sets the bar for pentest quality that engineers execute against. What the role involves Run adversary emulation and bypass testing against production systems to identify exploitable weaknesses. Own the standardised pentest playbooks used for urgent "launching next week" requests and personally handle the highest-complexity engagements. Lead in-depth architecture and design reviews for high-risk features, threat-modelling before code is written and producing security requirements and sign-off. Mature and scale AI-assisted pentest tooling (e.g. NEO, regression code scanning) to increase testing coverage. Mentor less experienced AppSec engineers in pentest methodology and adversarial thinking. Feed confirmed bypass and pentest findings to Detection Engineering & Threat Hunting so each becomes a shipped detection. Contribute to the vendor security testing element of the shared vendor intake process for high-risk vendors. What we are looking for 6+ years' experience in offensive security — pentesting, red teaming, or adversary emulation — ideally including production/live-environment experience. Strong architecture review skills, with the ability to threat-model a system from a design document rather than only testing a finished build. Familiarity with the modern AppSec tooling landscape (SAST/DAST, AI-assisted pentest tools). Comfortable acting as the technical escalation point for the team's hardest problems. Nice to have Experience running or contributing to bug bounty triage or vulnerability-disclosure programmes. What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. At Super Technologies, data isn't a support function — it's at the heart of every major decision we make. As a Product / Commercial Data Scientist , you'll work at the intersection of product, commercial, and marketing strategy. Your analyses won't sit in slide decks; they'll directly inform how millions of customers engage with our products. What the role involves Be the Decision Engine Run deep-dive analyses into customer behaviour, product usage, and commercial performance to uncover the causal drivers behind key trends, not just surface-level metrics Shape Strategy with Data Inform product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (including A/B testing and causal inference), and delivering insights that drive key decisions Automate Intelligence Define Metrics and KPIs, build dashboards and develop re-useable frameworks that help teams across Super make smarter, faster, data-driven decisions Partner Across the Business Collaborate with Product Managers, Commercial leads, Engineers, Designers, and Marketers, bringing analytical rigour to day-to-day decisions Tackle Ambiguity Translate business questions into sharp analytical problems, bringing structure to fast-moving projects What we are looking for 2–4 years of relevant experience in analytics and/or product data science roles, ideally in product or commercial domains, with a track record of turning analysis into clear recommendations SQL fluency (Snowflake) as a non-negotiable foundation, with a solid grounding in statistical/experimental methods and comfort with storytelling with data various using tools (Tableau) Proficient in using AI tools (Claude/Gemini) to accelerate analytics, coding, experimentation, and insight generation, with strong judgment to validate outputs and ensure accuracy. Degree in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related quantitative field — or equivalent work experience Skills & mindset The ability to transform complex analyses into clear, compelling narratives for both technical and non-technical stakeholders, making data accessible and actionable for decision-making Good commercial and product instincts: connecting data outputs to business outcomes, product design, and customer behaviour rather than treating analysis as an end in itself A bias for impact: orienting work around driving measurable change rather than model perfection, with success measured by whether analyses move the needle Comfortable framing and running well-defined analyses independently, whilst knowing when to bring a manager or senior data scientist in on more ambiguous or cross-functional questions Why join us? High impact: your datasets will be used daily by teams making product decisions, running experiments, and driving performance Real scale, real problems: handle serious data volumes — millions of events per day, multiple sources, and zero fluff Freedom to shape: influence our data architecture, tooling, and best practices — not just implementing, but building What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development Competitive compensation & performance-based bonuses Wellness perks & team social budget Additional benefits vary by country and will be shared during the hiring process. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. At Super Technologies, data isn't a support function — it's at the heart of every major decision we make. As a Product / Commercial Data Scientist , you'll work at the intersection of product, commercial, and marketing strategy. Your analyses won't sit in slide decks; they'll directly inform how millions of customers engage with our products. What the role involves Be the Decision Engine Run deep-dive analyses into customer behaviour, product usage, and commercial performance to uncover the causal drivers behind key trends, not just surface-level metrics Shape Strategy with Data Inform product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (including A/B testing and causal inference), and delivering insights that drive key decisions Automate Intelligence Define Metrics and KPIs, build dashboards and develop re-useable frameworks that help teams across Super make smarter, faster, data-driven decisions Partner Across the Business Collaborate with Product Managers, Commercial leads, Engineers, Designers, and Marketers, bringing analytical rigour to day-to-day decisions Tackle Ambiguity Translate business questions into sharp analytical problems, bringing structure to fast-moving projects What we are looking for 2–4 years of relevant experience in analytics and/or product data science roles, ideally in product or commercial domains, with a track record of turning analysis into clear recommendations SQL fluency (Snowflake) as a non-negotiable foundation, with a solid grounding in statistical/experimental methods and comfort with storytelling with data various using tools (Tableau) Proficient in using AI tools (Claude/Gemini) to accelerate analytics, coding, experimentation, and insight generation, with strong judgment to validate outputs and ensure accuracy. Degree in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related quantitative field — or equivalent work experience Skills & mindset The ability to transform complex analyses into clear, compelling narratives for both technical and non-technical stakeholders, making data accessible and actionable for decision-making Good commercial and product instincts: connecting data outputs to business outcomes, product design, and customer behaviour rather than treating analysis as an end in itself A bias for impact: orienting work around driving measurable change rather than model perfection, with success measured by whether analyses move the needle Comfortable framing and running well-defined analyses independently, whilst knowing when to bring a manager or senior data scientist in on more ambiguous or cross-functional questions Why join us? High impact: your datasets will be used daily by teams making product decisions, running experiments, and driving performance Real scale, real problems: handle serious data volumes — millions of events per day, multiple sources, and zero fluff Freedom to shape: influence our data architecture, tooling, and best practices — not just implementing, but building What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development Competitive compensation & performance-based bonuses Wellness perks & team social budget Additional benefits vary by country and will be shared during the hiring process. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. At Super Technologies, data isn't a support function — it's at the heart of every major decision we make. As a Product / Commercial Data Scientist , you'll work at the intersection of product, commercial, and marketing strategy. Your analyses won't sit in slide decks; they'll directly inform how millions of customers engage with our products. What the role involves Be the Decision Engine Run deep-dive analyses into customer behaviour, product usage, and commercial performance to uncover the causal drivers behind key trends, not just surface-level metrics Shape Strategy with Data Inform product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (including A/B testing and causal inference), and delivering insights that drive key decisions Automate Intelligence Define Metrics and KPIs, build dashboards and develop re-useable frameworks that help teams across Super make smarter, faster, data-driven decisions Partner Across the Business Collaborate with Product Managers, Commercial leads, Engineers, Designers, and Marketers, bringing analytical rigour to day-to-day decisions Tackle Ambiguity Translate business questions into sharp analytical problems, bringing structure to fast-moving projects What we are looking for 2–4 years of relevant experience in analytics and/or product data science roles, ideally in product or commercial domains, with a track record of turning analysis into clear recommendations SQL fluency (Snowflake) as a non-negotiable foundation, with a solid grounding in statistical/experimental methods and comfort with storytelling with data various using tools (Tableau) Proficient in using AI tools (Claude/Gemini) to accelerate analytics, coding, experimentation, and insight generation, with strong judgment to validate outputs and ensure accuracy. Degree in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related quantitative field — or equivalent work experience Skills & mindset The ability to transform complex analyses into clear, compelling narratives for both technical and non-technical stakeholders, making data accessible and actionable for decision-making Good commercial and product instincts: connecting data outputs to business outcomes, product design, and customer behaviour rather than treating analysis as an end in itself A bias for impact: orienting work around driving measurable change rather than model perfection, with success measured by whether analyses move the needle Comfortable framing and running well-defined analyses independently, whilst knowing when to bring a manager or senior data scientist in on more ambiguous or cross-functional questions Why join us? High impact: your datasets will be used daily by teams making product decisions, running experiments, and driving performance Real scale, real problems: handle serious data volumes — millions of events per day, multiple sources, and zero fluff Freedom to shape: influence our data architecture, tooling, and best practices — not just implementing, but building What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development Competitive compensation & performance-based bonuses Wellness perks & team social budget Additional benefits vary by country and will be shared during the hiring process. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering with product, commercial, and engineering teams to measure what matters. You will be joining a mature and growing community of 40+ data engineers and analytics engineers who are shaping one of the most advanced data ecosystems in the industry. What the role involves Design and build curated analytical datasets, metric implementations, and semantic models that enable consistent self-service analytics across the company. Work hands-on with data warehouse modelling to turn evolving product and business needs into scalable, reusable data structures. Partner closely with product, data scientists, and business stakeholders to clarify requirements and translate them into reliable data models and reporting-ready outputs. Build and own production dashboards (Tableau) on top of curated datasets and metric definitions, ensuring correctness, performance, and a consistent single source of truth. Contribute to data quality, observability, lineage, and documentation practices to increase trust and reduce firefighting. Promote reuse over reinvention — identify ad-hoc logic in reporting views or custom SQL and refactor it into curated, high-quality models that multiple teams can rely on. Raise the engineering bar through reviews, testing, automation, and pragmatic architectural improvements. Apply engineering rigour to analytics — treat semantics as code, utilising version control, testing, automation, and CI/CD practices to manage the lifecycle of business logic. Drive self-service adoption by creating foundations that allow analysts and business users to explore data safely and independently. Work embedded within Data Engineering squads, collaborating daily with data engineers and analysts on shared foundations and end-to-end delivery. What we are looking for Strong SQL skills and proven experience building analytical datasets and metrics in a modern data warehouse (Snowflake preferred; BigQuery, Redshift, and similar also valuable). Solid understanding of data warehouse modelling and best practices — dimensional modelling, fact/dimension design, grains, slowly changing dimensions, and semantic consistency. Experience working with reporting and BI tools (Tableau preferred), including understanding how data sources, extracts, and dashboard logic impact correctness, performance, and trust. A production mindset: care for reliability, maintainability, documentation, and operational ownership — not just creating a dataset once. Strong ownership and collaboration skills — able to drive clarity in ambiguous problem spaces and partner effectively with both technical and non-technical teams. Excellent communication skills with a pragmatic, problem-solving approach. Nice to have Experience with orchestration and workflow tooling (Airflow or similar). Experience with data cataloguing, lineage, and governance tooling (e.g., DataHub). Background in product-led, experimentation-driven, or high-growth environments where definitions evolve quickly. Experience supporting downstream operational consumers (e.g., CRM/audience platforms) or ML/feature engineering use cases. Familiarity with streaming/event-heavy ecosystems (Kafka or similar). What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development Additional benefits vary by country and will be shared during the hiring process. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering with product, commercial, and engineering teams to measure what matters. You will be joining a mature and growing community of 40+ data engineers and analytics engineers who are shaping one of the most advanced data ecosystems in the industry. What the role involves Design and build curated analytical datasets, metric implementations, and semantic models that enable consistent self-service analytics across the company. Work hands-on with data warehouse modelling to turn evolving product and business needs into scalable, reusable data structures. Partner closely with product, data scientists, and business stakeholders to clarify requirements and translate them into reliable data models and reporting-ready outputs. Build and own production dashboards (Tableau) on top of curated datasets and metric definitions, ensuring correctness, performance, and a consistent single source of truth. Contribute to data quality, observability, lineage, and documentation practices to increase trust and reduce firefighting. Promote reuse over reinvention — identify ad-hoc logic in reporting views or custom SQL and refactor it into curated, high-quality models that multiple teams can rely on. Raise the engineering bar through reviews, testing, automation, and pragmatic architectural improvements. Apply engineering rigour to analytics — treat semantics as code, utilising version control, testing, automation, and CI/CD practices to manage the lifecycle of business logic. Drive self-service adoption by creating foundations that allow analysts and business users to explore data safely and independently. Work embedded within Data Engineering squads, collaborating daily with data engineers and analysts on shared foundations and end-to-end delivery. What we are looking for Strong SQL skills and proven experience building analytical datasets and metrics in a modern data warehouse (Snowflake preferred; BigQuery, Redshift, and similar also valuable). Solid understanding of data warehouse modelling and best practices — dimensional modelling, fact/dimension design, grains, slowly changing dimensions, and semantic consistency. Experience working with reporting and BI tools (Tableau preferred), including understanding how data sources, extracts, and dashboard logic impact correctness, performance, and trust. A production mindset: care for reliability, maintainability, documentation, and operational ownership — not just creating a dataset once. Strong ownership and collaboration skills — able to drive clarity in ambiguous problem spaces and partner effectively with both technical and non-technical teams. Excellent communication skills with a pragmatic, problem-solving approach. Nice to have Experience with orchestration and workflow tooling (Airflow or similar). Experience with data cataloguing, lineage, and governance tooling (e.g., DataHub). Background in product-led, experimentation-driven, or high-growth environments where definitions evolve quickly. Experience supporting downstream operational consumers (e.g., CRM/audience platforms) or ML/feature engineering use cases. Familiarity with streaming/event-heavy ecosystems (Kafka or similar). What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development Additional benefits vary by country and will be shared during the hiring process. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. You will be joining the Core AI tribe within Super's Platform organisation, a team responsible for building the general-purpose infrastructure that enables product and engineering teams to leverage AI capabilities with greater effectiveness. As an AI Platform Engineer , you will design and build the core infrastructure and developer-facing tooling that powers AI and agent development across Super. The infrastructure you build will be used by every engineering and product team, making this one of the most impactful platform roles in the organisation. We are currently growing the team and hiring multiple engineers at the senior and staff track level. What the role involves Design, build, and operate general-purpose AI platform infrastructure — including MCP gateways, the internal agentic platform, context engineering services, and supporting SDKs and tooling. Build secure, governed data-access and identity layers that serve both human users and autonomous agents, with appropriate access controls, auditing, and observability. Develop developer-facing tooling and paved paths that make it straightforward for product and engineering teams to build, deploy, and observe AI-powered and agentic workflows. Own services end to end: from architecture and implementation through to deployment, monitoring, and on-call operation on a Kubernetes-based cloud platform. Define and codify infrastructure using infrastructure-as-code; improve the reliability, networking, and performance of the platform. Partner with product, security, and infrastructure teams to ensure platform capabilities are safe, compliant, and production-ready. Set engineering standards and mentor others; act as a force multiplier for how AI is adopted across the organisation. What we are looking for 4+ years of software engineering experience building full-stack or backend-heavy product systems. 3+ years of meaningful cloud infrastructure experience, including hands-on work with Kubernetes, infrastructure-as-code, and networking. Credible, practical experience leveraging AI tools — including agents, SDKs, and coding assistants — to augment developer productivity and ship software more effectively. Strong fundamentals in distributed systems, API design, security, and operational excellence. A bias towards simplicity, paved paths, and building infrastructure that others can safely build on. Nice to have Experience with one or more of Python, TypeScript, Go, or Rust. Experience building developer platforms, internal tooling, or platform-as-a-product. Familiarity with the Model Context Protocol (MCP), agent orchestration, RAG, or context engineering. Experience designing data-access, identity, or governance layers for AI/agentic systems. Experience operating in a regulated environment. What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development Additional benefits vary by country and will be shared during the hiring process. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.