Data Engineer

Your Role:

As Data Engineer, you will be the primary owner of Dedale’s data stack. You will define how we govern, model, maintain, migrate, and enrich our data (proprietary and public data) - setting the foundation for everything from analytics to AI-powered products. Joining Data and Tech Teams of 20+ people, you will collaborate closely with our Product and Research Teams.

This is a high-impact, high-autonomy role, with a clear path toward Data Architect.

- Data Governance

• Define and enforce access policies: who can see what, who can change what – aligned with GDPR standards

• Implement data quality checks and completeness monitoring across all sources

• Build and maintain a data catalogue — making data discoverable and trustworthy

• Own data observability: detect anomalies, lineage issues, and freshness gaps proactively

- Data Architecture – in close coordination with our product team

• Design and maintain Dedale’s canonical data model — the single source of truth

• Own the full data pipeline: ingestion, transformation, storage, and serving layers

• Select and evaluate the right tools for each layer of the stack (ETL, warehouse, orchestration)

• Ensure coherence, consistency, and scalability as we grow

- Data Pipelines Automation and Enrichment

• Automate data workflows, reducing manual steps, improving reliability and building scale

• Design and build new pipelines that enrich raw data with external sources and computed signals

• Partner with analysts and product teams to deliver clean, ready-to-use proprietary datasets

- Data Modernisation & Migration

• Audit and progressively migrate legacy data infrastructure toward a modern, scalable architecture

• Identify technical debt in the data stack and drive its resolution methodically

• Ensure zero data loss and high availability during migration phases