Madrid-Based Hands-On Data Engineering Manager

MediaRadar

Madrid

Hybrid

EUR 110,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Remote-friendly environment

Job summary

MediaRadar seeks a Data Engineering Manager in Madrid who will lead and mentor a growing team while remaining hands-on in coding, schema design, and PoCs. You will drive end-to-end data delivery and modernize the platform toward an open, AWS-based stack, collaborating across North America, India, and Europe.

You'll balance leadership with hands-on delivery, engineering robust ETL/ELT pipelines and promoting AI-assisted development practices across the team.

Qualifications

  • 6-8+ years in data engineering / ETL as a hands-on engineer.
  • Strong SQL and RDBMS skills with SQL Server and Postgres.
  • Hands-on with dbt, ClickHouse, Airflow or Dagster.
  • Strong Python for building data pipelines.
  • Experience with AI coding assistants and prompt tooling.
  • Experience with AWS or another major cloud platform.
  • Bachelor's or Master's in CS/Engineering or equivalent.
  • Professional fluency in English.

Responsibilities

  • Lead and mentor data engineers on the Madrid team with technical direction.
  • Design, build, and optimize robust ETL/ELT pipelines at scale.
  • Champion AI-assisted development and establish best practices.
  • Build POCs to validate new tools and patterns before rollout.
  • Contribute to migrating to an AWS-based stack and modernize platform.
  • Ensure end-to-end data delivery from ingestion to client platforms.

Skills

SQL
Python
Leadership
Data Pipelines
AWS
AI-assisted coding
ETL/ELT
Git

Education

Bachelor's or Master's in CS/Engineering

Tools

dbt
ClickHouse
Airflow
Dagster
Terraform
Kubernetes
SQL Server
PostgreSQL

Job description

MediaRadar seeks a Data Engineering Manager in Madrid who will lead and mentor a growing team while remaining hands-on in coding, schema design, and PoCs. You will drive end-to-end data delivery and modernize the platform toward an open, AWS-based stack, collaborating across North America, India, and Europe.

You'll balance leadership with hands-on delivery, engineering robust ETL/ELT pipelines and promoting AI-assisted development practices across the team.

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