Head of Data Engineering & Analytics - Fintech Engineering (M/F/N)
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Before you apply
LocationWarszawa/Kraków, pl
Typecontract
SeniorityDirector
Experience7+ yrs
DepartmentData & AI
Company size1,001–5,000 people
PostedOct 12, 2026 · 3w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
7+ years of experience as a Data Engineer and/or Architect
3+ years leading data engineering or analytics engineering teams
Hands-on when needed, especially with AI on board
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+)
Fintech regulation awareness (CCD2, PSD2, DORA)
Credit-risk or underwriting data
Streaming/CDC
Scaling a data function through rapid growth
Vendor negotiation experience
Skills
Databricks
Feature store
Lakehouse
Data quality
Observability
Lineage
GDPR
AI
Agentic systems
Streaming/CDC
Credit risk
Underwriting data
Benefits
Greenfield
Modern stack
Rapid growth
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.
Responsibilities
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Feature store and lakehouse on Databricks, with point-in-time correctness, freshness guarantees and full lineage.
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Data quality by default. Freshness, completeness and drift are monitored, and engineers are held to the standards you set.
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Analytics that move money. Portfolio performance and unit economics become decision-ready numbers, together with Credit Risk and Data Product.
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Agent-first pipelines. Agents are production components, with guardrails, evals and observability, and you control their cost and latency.
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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:
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The Data Engineering & Analytics team: hiring, coaching and performance, with Staff Engineers as your architectural anchors.
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Pipeline and feature-store architecture direction for every data product that credit and decisioning depend on.
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The platform roadmap, co-authored with the Director of Data & AI and the Data Product Lead.
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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