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 GovernanceDefine 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
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
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
Top Skills
What We Do
Dedale Intelligence is the differentiating source of strategic intelligence in the technology space.
With a unique team of over 100 full-time research analysts & planners, Dedale leverages a community of industry veterans to deliver on the ground strategic intelligence to investors and corporates, with a core focus around North America and Europe.
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