- Company: Get A Job.ai
- Location: Paris, Paris; Villeneuve-d'Ascq, Nord
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
Responsibilities
We are representing a confidential retail technology organization seeking a Data Engineering Manager to lead their data transformation platform team in Paris or Villeneuve-d'Ascq.
As the manager of a team of 7 data platform engineers and 1 product manager, you will be responsible for maintaining, evolving, and promoting the data transformation stack, including Databricks for computing and Astronomer for orchestration.
Your core responsibilities include:
- Team Leadership: Define the technical vision and co-build the team roadmap
- Delivery & Quality: Ensure high-quality delivery that meets deadlines and governance indicators
- People Development: Bridge organizational vision with day-to-day operations while focusing on individual growth and skills development of team members
- Budget Management: Manage team and tooling budgets, respecting current fiscal year constraints while planning ahead
- Performance Management: Conduct individual missions, development plans, and performance reviews to support the team's skill advancement
- Best Practices: Guide users toward the best practices your team defines for the modern data stack
What We're Looking For
The ideal candidate brings:
- Solid experience managing technical teams in data or cloud engineering, ideally in an international or large-scale context
- Strong understanding of modern data stack challenges and hands-on experience with tools like Databricks and Airflow/Astronomer
- Ability to balance strategic vision (roadmap, budget) with operational excellence (delivery, agile practices)
- Recognition for human qualities, active listening, and proven ability to develop team members
- Experience with lakehouse architecture and data platform scalability
- Comfort working in French language environment in France
How We Work With You
Candidates apply directly through Get A Job.ai. Our talent team will conduct an initial screening to understand your background and match with the role. If there's a strong fit, we submit your profile to our client for consideration. Please do not attempt to contact the client organization directly, as all communication flows through our recruiting team to ensure a professional process.
Pay
Compensation details will be discussed during the screening process based on experience and qualifications.
Additional Benefits: 2 days remote work per week, choice of Paris or Lille office location, equipment provided, international career opportunities, technical certifications, skills development programs, employee participation schemes, and performance bonuses.
Get A Job.ai is an equal opportunity recruiter. We welcome applications from candidates of all backgrounds and work to ensure fair, inclusive hiring processes for the organizations we represent.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Data Engineering Manager
- Employer Get A Job.ai
- Location Paris, Paris; Villeneuve-d'Ascq, Nord
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 19, 2026
- Apply by October 19, 2026
- Overview Full job description on this page (378 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Engineering Manager
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Manage the coordination and overall integration of technical activities in architecture or engineering projects.
- Direct, review, or approve project design changes.
- Consult or negotiate with clients to prepare project specifications.
- Prepare budgets, bids, or contracts.
- Present and explain proposals, reports, or findings to clients.
- Confer with management, production, or marketing staff to discuss project specifications or procedures.
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Occupation family: Data Engineering Manager
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