Data Engineer: Scalable Analytics Platform

Super Technologies

España

Híbrido

EUR 60.000 - 90.000

Jornada completa

Hace 8 días

Generador de candidaturas

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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 Technologies is building a world-class Analytics Platform across Europe. We seek a data engineering-focused professional to design and maintain scalable ETL pipelines, data models, and semantic layers in Snowflake/BigQuery.

You’ll work with product and engineering teams to deliver measurable business value, in a hybrid Madrid-based role. You will collaborate with 40+ data engineers in a mature data ecosystem, driving quality, automation, and modern workflow orchestration, while advancing

Formación

Strong SQL and Python skills with distributed data systems knowledge.
Hands-on dimensional modelling experience and analytical data marts.
Experience with Snowflake or BigQuery in data warehouses.
AWS/Azure/GCP cloud familiarity and orchestration with Airflow.

Responsabilidades

Design, build, and optimise scalable ETL/ELT pipelines for high-volume datasets.
Implement data warehouse methodologies for trustworthy models.
Develop semantic layers and data marts for self-service analytics.
Orchestrate workflows with Airflow and modern tooling.
Ensure data quality, lineage, and observability for data products.
Collaborate with product, analytics, and engineering to deliver scalable data solutions.
Raise engineering standards through reviews, testing, automation, and architecture improvements.