Data Engineer

Super; Madrid; Híbrido; EUR 55.000 - 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 is seeking a data engineer to design and optimise scalable ETL/ELT pipelines, build robust data models, and enable analytical self-service across our European and LatAm footprint. You will work with Snowflake or BigQuery, AWS/Azure, and Airflow to ensure data reliability and accessibility for product and business teams.

Based in Madrid or surrounding area with hybrid working, you will join a 40+ data engineering community to shape the next era of play and entertainment analytics at a

Formación

• Strong SQL and Python skills with distributed data systems knowledge.
• Dimensional data modelling (Kimball, Inmon) with data warehouse experience (Snowflake/BigQuery).
• Experience with cloud platforms and workflow orchestration tools (Airflow).

Responsabilidades

• Design, build, and optimise scalable ETL/ELT pipelines for high-volume datasets.
• Design data models and semantic layers for analytical self-service.
• Engineer reliable workflows with Airflow and maintain data quality, lineage, and observability.
• Collaborate with product, analytics, and engineering teams to deliver scalable data solutions.
• Contribute to code reviews, testing, automation, and architectural improvements.

Conocimientos

SQL

Python

Distributed data systems

Dimensional data modeling

Ownership mindset

Communication skills

Herramientas

Snowflake

BigQuery

Airflow

AWS

Azure

GCP

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 empowers self-service analytics 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 with product and business teams to measure what matters. You'll be joining a mature and growing community of 40+ data engineers who are shaping one of the most advanced data ecosystems in the industry.

What The Role Involves

• Design, build, and optimise scalable ETL/ELT pipelines for high-volume, fast-changing datasets.
• Apply proven data warehouse methodologies (e.g. Kimball, Inmon) to design and deliver trustworthy, performant data models.
• Develop and maintain semantic layers and curated data marts to enable analytical self-service across the company.
• Orchestrate reliable workflows with modern tooling such as Apache Airflow.
• Enforce data quality, lineage, and observability practices to ensure confidence in our data products.
• Partner with product, analytics, and engineering teams to co-create scalable data solutions that deliver measurable business value.
• Raise the engineering bar through code reviews, testing, automation, and architectural improvements.

What We Are Looking For

• Strong SQL and Python skills, with solid understanding of distributed data systems and modern data architectures.
• Deep knowledge of dimensional data modelling (Kimball, Inmon) and hands-on experience building analytical layers in data warehouses such as Snowflake or BigQuery.
• Hands-on experience with cloud platforms (AWS preferred; Azure/GCP also valuable).
• Workflow orchestration experience with Airflow or similar tools.
• Strong ownership mindset — able to work independently, structure work, and partner effectively with technical and non-technical stakeholders.
• Excellent communication skills with a collaborative, problem-solving approach.
• Based in Madrid or surrounded area, as this role requires hybrid working.

Nice to have

• Experience with real-time streaming technologies such as Kafka or similar.
• Experience with cloud-native analytical databases such as Snowflake.
• Multi-cloud exposure and understanding of platform trade-offs.
• Background in product-led or experimentation-driven environments.
• Experience with data governance, cataloguing, and documentation practices (e.g. DataHub).

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.