Dedale (ex-Software Club)

Data Engineer

• 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
• 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
• 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
• 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