Hybrid Data Engineer - Analytics Platform (Madrid)

super

España

Híbrido

EUR 65.000 - 90.000

Jornada completa

Hace 5 días

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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 building The Playstack across Europe and Latin America, seeking a data platform engineer to design and optimise scalable ETL/ELT pipelines and data models. You will advance semantic layers and curated data marts to enable analytics self-service across the company.

Join a mature analytics platform with 40+ data engineers, leveraging Snowflake/BigQuery, Airflow, and cloud platforms to deliver high-quality, measurable business outcomes while collaborating with product and engineering teams.

Formación

Proven experience with SQL and Python in data pipelines and analytics.
Knowledge of Kimball or Inmon dimensional modeling concepts.
Hands-on experience with Snowflake or BigQuery.
Cloud platform experience (AWS preferred; Azure/GCP valuable).
Experience with workflow orchestration tools such as Airflow.
Strong ownership mindset and ability to collaborate with technical and non-technical stakeholders.

Responsabilidades

Design, build, and optimise scalable ETL/ELT pipelines for large, evolving datasets.
Apply data warehousing methodologies to deliver trustworthy data models.
Develop and maintain semantic layers and data marts for self-service analytics.
Orchestrate workflows with modern tooling like Apache Airflow.
Enforce data quality, lineage, and observability across data products.
Collaborate with product, analytics, and engineering to deliver measurable business value.