- Location
- Madrid, Community of Madrid, Spain · published
- Type
- Full-time
- Department
- IT
- Seniority
- Manager
- Source
- Workable
Description
Location: Madrid, Spain (Remote — with regular in-person collaboration at a local WeWork alongside our Madrid tech team)
About MediaRadar
MediaRadar, equips marketing, sales and analytics leaders with the intelligence they need to stay ahead. Our platform delivers always-on, AI-enabled Creative, Competitive, Commercial and Market Intelligence—spanning ad strategy, media spend, creative assets and brand messaging across 30+ media channels and five million brands.
With deep insights into more than 35 million ad and campaign assets and $280 billion in media spend, MediaRadar provides a single, interoperable source of truth that plugs seamlessly into enterprise analytics and AI systems. The result: faster, cleaner and more actionable intelligence that drives competitive advantage.
About The Role:
We are looking for a Data Engineering Manager to join our Madrid-based team and take ownership of our data delivery lifecycle — driving the end-to-end delivery of complex data projects while managing and mentoring a growing team of data engineers. This is a player-coach role: at least for now, you will remain deeply hands-on — writing code, designing schemas, and building proofs-of-concept alongside your team — rather than stepping into a purely managerial capacity.
We are deliberately moving away from a locked-in, vendor-heavy stack (e.g., Azure Databricks) toward a flexible, largely open-source architecture that keeps our options open. You will be in the engine room of that re-architecture — writing code, designing schemas, tuning queries, and helping prove out tools such as ClickHouse, dbt, and open-source orchestration frameworks before we adopt them at scale — while also mentoring your team to do the same and championing AI-assisted development practices (e.g., GitHub Copilot, Cursor, Claude) across the group.