Data Engineer at Dedale Intelligence

ABOUT DEDALE: Dedale is a fast-growing intelligence and strategy firm operating at the intersection of data, AI, and decision-making. We help leading organizations and investors navigate complexity through sharp insights and a cutting-edge product. As we scale, data is at the heart of everything we build — and we need someone to own it end-to-end. 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 YOUR PROFILE: Must-haves: - 3 to 5 years of experience in a data engineering role - Proficiency in Python and SQL - Solid experience with data modelling, pipeline design, and warehousing (e.g. Airtable, dbt, Airflow, BigQuery, Snowflake, Spark) - Interest and exposure to AI/ML pipelines and feature engineering - Hands-on knowledge of data governance principles and tooling - Track record of working in a start-up or scale-up environment — you thrive with ambiguity - Entrepreneurial mindset: you see the big picture, propose solutions, and take ownership Nice-to-haves: - Experience with data migration projects - Familiarity with data cataloguing and observability tools (e.g. DataHub, Monte Carlo, Great Expectations) - Interest in growing into a Data Architect role — we will invest in your development Who you are: - You take pride in clean, reliable data and treat it as a product - You communicate clearly with technical and non-technical stakeholders alike - You balance speed with rigour — you can ship fast without cutting dangerous corners - You are proactive, curious, and always looking for ways to improve the stack WHAT WE OFFER: - High autonomy and direct impact from day one - A clear career path toward Data Architect - A collaborative, intellectually stimulating environment - Competitive compensation package - Flexible working arrangements