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Day 23
Similar jobs usually come down between day 7 and day 53.
From 7,804 similar postings that came down. Coming down is not always a hire.
Head of Data Engineering & Analytics - Fintech Engineering (M/F/N)
Reads like a Data Leadership role: running a data team.
Warszawa/Kraków, Poland
Live, first seen by us 23 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting
What you’ll work on
Full postingLead hiring, coaching and performance for the Data Engineering & Analytics team
Direct pipeline and feature-store architecture for credit and decisioning data products
Co-author the platform roadmap with the Director of Data & AI and Data Product Lead
Set the AI-first engineering standard across the team
Plan budget, tooling spend and headcount for the data function
From the employer’s posting
The Data Engineering & Analytics team: hiring, coaching and performance
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 will plan budget, tooling spend and headcount accordingly.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 12, 202623 days ago
- Recorded sightings
- 84
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
InPost is hiring
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Leadership hiring is picking up
- Takes jobs down quickly
- 50% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Databricks
Where the posting names them
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.
- 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.
Your next step
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About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
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
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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Warszawa/Kraków, Poland
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.