Senior Data Engineer for High-Impact Analytics

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

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.