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.Are you excited about building modern data infrastructure that powers self-service analytics and high-quality data products at scale? 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 closely with product, analysts, data scientists, and engineering teams to measure what matters. You'll be joining a mature and growing community of 40+ data engineers shaping one of the most advanced data ecosystems in the industry.What The Role InvolvesDesign, build, and evolve scalable ETL/ELT pipelines for high-volume, fast-changing datasetsOwn medium-to-large data initiatives end-to-end, from requirement shaping and technical design through to production rollout and ongoing improvementModel reliable, analytics-ready data using proven warehouse methodologies such as Kimball, Inmon, or similar approachesDevelop and maintain curated analytical layers, semantic models, and data marts that enable self-service and trusted decision-makingOrchestrate robust workflows using tools such as Apache Airflow, improving reliability, observability, and maintainability of data pipelinesPartner with software engineers, analysts, product managers, and business stakeholders to translate ambiguous requirements into scalable data solutionsProactively identify data quality, performance, and modelling issues and drive improvements before they become business problemsContribute to architecture and engineering decisions within your domain,



balancing speed, quality, and long-term maintainabilityMentor less senior data engineers through code reviews, design discussions, documentation, and day-to-day guidanceRaise the engineering bar through testing, automation, CI/CD practices, clear documentation, and thoughtful technical standardsWhat We Are Looking ForStrong SQL and Python skills, with solid hands-on experience building production-grade data pipelines and analytical modelsDeep understanding of dimensional modelling methodologies and modern data warehouse design in platforms such as Snowflake, BigQuery, or similarExperience owning projects independently and driving delivery across multiple stakeholders or teamsSolid experience with orchestration tooling such as Airflow, Dagster, or similarStrong understanding of data quality, lineage, observability, and operational excellence in a data engineering environmentAbility to take ambiguous business problems and turn them into clean, maintainable, well-documented data solutionsExperience working with cloud platforms, preferably AWS, though Azure or GCP experience is also valuableConfidence influencing technical decisions within your team and collaborating effectively with both technical and non-technical stakeholdersStrong communication skills and a collaborative, problem-solving mindsetNice to haveExperience with event-driven source systemsExperience with cloud-native analytical databases such as Snowflake, BigQuery, or DatabricksFamiliarity with semantic layers, metrics modelling,



and enabling data products beyond traditional BI reportingExposure to experimentation-driven or product-led environmentsExperience with data governance, cataloguing, and documentation practices such as DataHubExperience improving developer productivity through tooling, shared frameworks, or reusable patternsMulti-cloud exposure and understanding of platform trade-offsWhat We OfferMedical / Health InsuranceOpen Annual LeaveEmployee Assistance ProgrammeTraining & Learning DevelopmentAdditional benefits vary by country and will be shared during the hiring process.About SuperWe are a integral 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 PlayEverything 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/careersSuper 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.
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📌 Senior Data Engineer (Madrid)
🏢 Super
📍 Madrid