Senior Data Engineer

Super; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical / Health Insurance

Open Annual Leave

Employee Assistance Programme

Training & Learning Development

Descripción de la vacante

Super in Madrid is seeking a data engineer to design and evolve scalable ETL/ELT pipelines powering analytics across Europe. You will own data initiatives end-to-end, model analytics-ready data, and develop curated layers and data marts for self-service insights.

You will collaborate with software engineers, analysts, product managers and stakeholders, improve data quality, and mentor junior engineers while advancing CI/CD and documentation practices.

Formación

• Strong SQL and Python skills with production data pipelines.
• Experience with dimensional modeling and data warehouses.
• Experience owning projects end-to-end across stakeholders.
• Familiar with Airflow, Dagster, or similar orchestration tools.
• Understanding of data quality, lineage, observability, and governance.
• Ability to translate ambiguous business problems into scalable data solutions.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Excellent communication and collaboration with technical and non-technical stakeholders.

Responsabilidades

• Design, build, and evolve scalable ETL/ELT pipelines for high-volume datasets.
• Own data initiatives end-to-end from design to production rollout.
• Model analytics-ready data using warehouse methodologies like Kimball or Inmon.
• Develop and maintain analytical layers, semantic models, and data marts for self-service.
• Orchestrate robust workflows using Airflow, Dagster, or similar tools.
• Collaborate with engineers, analysts, PMs, and stakeholders to translate requirements.
• Identify and drive improvements for data quality, performance, and modeling.
• Contribute to architecture decisions balancing speed, quality, and maintainability.
• Mentor junior data engineers through code reviews and guidance.
• Improve testing, CI/CD practices and documentation to raise engineering standards.

Conocimientos

SQL

Python

Data pipelines

Dimensional modeling

Airflow

Educación

Bachelor's degree in Computer Science

Herramientas

Airflow

Dagster

Snowflake

BigQuery

Databricks

Descripción del empleo

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 Involves

• Design, build, and evolve scalable ETL/ELT pipelines for high-volume, fast-changing datasets
• Own medium-to-large data initiatives end-to-end, from requirement shaping and technical design through to production rollout and ongoing improvement
• Model reliable, analytics-ready data using proven warehouse methodologies such as Kimball, Inmon, or similar approaches
• Develop and maintain curated analytical layers, semantic models, and data marts that enable self-service and trusted decision-making
• Orchestrate robust workflows using tools such as Apache Airflow, improving reliability, observability, and maintainability of data pipelines
• Partner with software engineers, analysts, product managers, and business stakeholders to translate ambiguous requirements into scalable data solutions
• Proactively identify data quality, performance, and modelling issues and drive improvements before they become business problems
• Contribute to architecture and engineering decisions within your domain, balancing speed, quality, and long-term maintainability
• Mentor less senior data engineers through code reviews, design discussions, documentation, and day-to-day guidance
• Raise the engineering bar through testing, automation, CI/CD practices, clear documentation, and thoughtful technical standards

What We Are Looking For

• Strong SQL and Python skills, with solid hands-on experience building production-grade data pipelines and analytical models
• Deep understanding of dimensional modelling methodologies and modern data warehouse design in platforms such as Snowflake, BigQuery, or similar
• Experience owning projects independently and driving delivery across multiple stakeholders or teams
• Solid experience with orchestration tooling such as Airflow, Dagster, or similar
• Strong understanding of data quality, lineage, observability, and operational excellence in a data engineering environment
• Ability to take ambiguous business problems and turn them into clean, maintainable, well-documented data solutions
• Experience working with cloud platforms, preferably AWS, though Azure or GCP experience is also valuable
• Confidence influencing technical decisions within your team and collaborating effectively with both technical and non-technical stakeholders
• Strong communication skills and a collaborative, problem-solving mindset

Nice to have

• Experience with event-driven source systems
• Experience with cloud-native analytical databases such as Snowflake, BigQuery, or Databricks
• Familiarity with semantic layers, metrics modelling, and enabling data products beyond traditional BI reporting
• Exposure to experimentation-driven or product-led environments
• Experience with data governance, cataloguing, and documentation practices such as DataHub
• Experience improving developer productivity through tooling, shared frameworks, or reusable patterns
• Multi-cloud exposure and understanding of platform trade-offs

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.