Head of Data Engineering & Analytics - Fintech Engineering (M/F/N)
Nice to have's
Job description
About the Position
Head of Data Engineering & Analytics - Fintech Engineering (M/F/N)
Contract
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.
Responsibilities
- 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.
Requirements
- 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+).
Nice to Have
- Fintech regulation awareness (CCD2, PSD2, DORA)
- Credit-risk or underwriting data
- Streaming/CDC
- Scaling a data function through rapid growth
- Vendor negotiation experience
We Offer
- 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
About the Company
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.
© InPost. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Logistics
About the Company InPost is a leader in offering modern logistics services and the first company in Poland to create Paczkomatów (parcel lockers). Through innovative technology, they have enabled the receipt of packages in a more convenient, cheaper, and environmentally friendly way. Products, Services & Tech Stack Core Solutions: Parcel lockers (Paczkomatów) Project Scope & Target Clients Client Base: Not specified Engineering Scale: Not specified
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