Senior Analytics Engineer

Superbet; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A global technology company is seeking a data analyst to design analytical datasets and metrics, ensuring reliability and maintainability of data structures. The role emphasizes collaboration with product teams and data engineers in a dynamic environment. Strong SQL skills and experience with data warehousing and BI tools like Tableau are essential. The ideal candidate will help drive self-service data exploration while maintaining operational ownership of datasets. This exciting position is based in Madrid.

Formación

• Proven experience building analytical datasets in a modern data warehouse.
• Solid understanding of data warehouse best practices.
• Care about reliability and operational ownership.

Responsabilidades

• Design and build analytical datasets and metrics.
• Work hands-on with data warehouse modelling to meet business needs.
• Drive self-service adoption for data exploration.

Conocimientos

Strong SQL skills

Data warehouse modeling

Experience with BI tools (Tableau)

Operational ownership

Collaboration skills

Excellent communication

Herramientas

Snowflake

Tableau

Airflow

Kafka

Descripción del empleo

It’s an exciting time to join us! We’re entering new markets, developing new technologies, and moving step by step towards our goal of exciting the world. As our business grows, the number of exciting people initiatives grows with it, and we’re looking for a new colleague to partner with our team to bring these to life.

What you’ll be doing:

• Design and build curated analytical datasets, metric implementation, 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 rigor to analytics - treat semantics as code utilizing version control, testing, automation, and CI/CD practices to manage the lifecycle of our business logic
• Drive self‑service adoption - create the foundations that allow analysts and business users to explore data safely and independently, without needing to reinvent the wheel
• Work embedded within Data Engineering squads, collaborating daily with both data engineers and analysts on shared foundations and end‑to‑end delivery

We’re 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 modeling and best practices (dimensional modeling, fact/dimension design, grains, slowly changing dimensions, 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: you care about 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

Bonus points for:

• Experience with orchestration and workflow tooling (Airflow or similar)
• Experience with data cataloging, 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)

About Us

We are a global technology company dedicated to building the future of entertainment and fan‑centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, and Serbia, our company has evolved from a leading sports betting and gaming operator into a diversified product and tech organization, gathering more than 5,000 dedicated people across our teams.

Shaping the future of play

At Super, we are creating a unique entertainment ecosystem engaging millions of customers worldwide. Our product and technology teams in Amsterdam (the Netherlands), Madrid (Spain), Zagreb (Croatia), London (UK), and Bucharest (Romania) are building the playstack that will champion the future of play.

Global recognition and standards

The company’s long‑term strategy is supported by world‑class investors. In 2019, Blackstone, the world’s largest alternative asset manager, made a strategic minority investment of €175 million. In 2025, we strengthened our financial position through a €1.3 billion refinancing agreement, reinforcing our partnership with Blackstone and enabling accelerated global expansion.

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).