Data Engineer F - M H/F - Neovoxia

Des entreprises qui grandissent. Des équipes qui se construisent. Des talents qui s'accomplissent. Ensemble, écrivons la suite.

Neovoxia is supporting one of its partner companies, Dedale Intelligence, with their hiring.
Dedale is looking for their future Data Engineer (CDI, Paris).

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)
- Experience working with automation tools (e.g. n8n, Zapier, or other)
- 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, SMB, 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

• Python
• Clean
• Access