Data Engineer — Scalable Analytics & ELT Pipelines

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

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