Data Engineering Manager
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- Paris
- Permanent Contract
- Fulltime
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We are partnering with a high-growth European tech platform operating at significant scale, building a product driven by real-time interactions and direct monetization.
With millions of users and a high volume of daily transactions, data sits at the core of both product innovation and business performance.
About the role :
As Head of Data, you will lead the data strategy end-to-end, acting as both a technical leader and business partner. You will own the full data scope from platform architecture to advanced Machine Learning use cases while managing a small, high-impact team.
You will work directly with executive leadership and product teams to turn large-scale data into actionable insights and intelligent features.
Responsibilities :
Data Platform & Architecture
- Define and scale a modern AWS-based data platform (Lakehouse archi
- tecture)Ensure data quality, reliability, and performance across pipelines
- Own tracking strategy and event-based datamodeling
Machine Learning & Advanced Analytics
Lead development of:
- Recommender systems
- Predictive models (churn, monetization, engagement)
- Advanced experimentationframeworks
- Drive innovation using Deep Learning &GenAI
Business Impact & Analytics
- Translate complex data into clear, actionable business insights
- Influence product and growth decisions through data
- Own key metrics: revenue, retention, LTV, acquisition performance
Leadership
- Manage and mentor a small team of Analytics & ML
- Engineers (≤4)Build strong data practices (SQL, DBT, code review, xuezdbg experimentation)
- Foster a data-driven culture across the organization
Performance & FinOps
- Monitor and optimize AWS data costs
- Ensure scalability and efficiency of data pipelines
About you :
- Experience leading Data / ML teams in high-scale environments
- Strong hands-on expertise:Python, SQLAWS ecosystem (Redshift, S3, etc.)
- Modern data stack (DBT, BI tools)
- Proven experience with: Recommender systems or predictive modeling
- Experimentation (A/B testing)Ability to connect technical topics with business impact
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