Head of Data Engineering & Analytics - Fintech Engineering (M/F/N)

The mission

Build a data platform that works as a business asset, not a cost centre.

- Feature store and lakehouse on Databricks, with point-in-time correctness, freshness guarantees and full lineage. - Data quality by default. Freshness, completeness and drift are monitored, and engineers are held to the standards you set. - Analytics that move money. Portfolio performance and unit economics become decision-ready numbers, together with Credit Risk and Data Product. - Agent-first pipelines. Agents are production components, with guardrails, evals and observability, and you control their cost and latency. - Governance as a speed advantage. GDPR-aware by design, audit-ready, and fast to ship.

This is a business function. Every pipeline and every metric exists to create or protect monetary value. You will plan budget, tooling spend and headcount accordingly.

What you'll own:

- The Data Engineering & Analytics team: hiring, coaching and performance, with Staff Engineers as your architectural anchors. - Pipeline and feature-store architecture direction for every data product that credit and decisioning depend on. - The platform roadmap, co-authored with the Director of Data & AI and the Data Product Lead. - The AI-first engineering standard across the team.

You are:

- Someone with 7+ years of experience as a Data Engineer and/or Architect and 3+ years leading data engineering or analytics engineering teams. - A leader who loves data and loves building systems around it. - Hands-on when needed, especially with AI on board. You understand every layer, from ingestion to serving. - Proven in lakehouse and feature-store architecture at function scale. - Experienced in data-quality, observability and lineage frameworks across a multi-team estate. - Experienced in people management across Staff, Senior and Mid levels, plus budget and roadmap planning. - Already building agentic systems in production. - Fluent in English (B2+).

Bonus points for:

- Fintech regulation awareness (CCD2, PSD2, DORA) - Credit-risk or underwriting data - Streaming/CDC - Scaling a data function through rapid growth - Vendor negotiation experience

Why join InPost?

- Seat at the table on a core leadership team. - Greenfield with a real mandate. You set the architecture, the bar and the team. - A modern stack. Databricks lakehouse from day one. - Real pace. A lean, AI-native organisation. - We offer a B2B Contract