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