Engineering Manager (AWS) - ML & Analytics

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

• Define and scale a modern AWS-based data platform (Lakehouse architecture)
• Ensure data quality, reliability, and performance across pipelines
• Own tracking strategy and event-based datamodeling

Machine Learning & Advanced Analytics

Lead development of:

• Predictive models (churn, monetization, engagement)
• Advanced experimentation frameworks

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
• 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
• Proven experience with: Recommender systems or predictive modeling
• Experimentation (A/B testing) and ability to connect technical topics with business impact