Head of Data Engineering & Analytics - Fintech Engineering (M/F/N)
# Head of Data Engineering & Analytics - Fintech Engineering (M/F/N) **InPost UK** · Warszawa, mazowieckie · `On-site` 🕒 **Статус:** *Опубликовано: 7 дней назад* · *Источник: Indeed* --- ### About the Role Company Description Own the data foundation that every financial decision at InPost Pay will stand on. We are building a scale-up inside InPost, and AI will flow through all of it. You would lead the engine room: from the first raw event to the feature that powers a decision to the report a board reads. You'd be a key member of the Data & AI leadership team, reporting to the Director of Data & AI, with the InPost executive team behind the build. Our word is extreme ownership . Job Description 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. Qualifications 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 Additional Information 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
Наблюдалась 2026-10-19, впервые 2026-10-09, найдена на 2 площадках, источник — Indeed.