Reads like a Data Leadership role: running a data team.
Warszawa/Kraków, Poland
Live, first seen by us 24 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: ContractFrom the employer’s posting
Lead 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
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 24
Similar jobs usually come down between day 7 and day 54.
Well past InPost’s usual: its jobs come down by about day 12.
From 8,108 similar postings that came down, and 49 of InPost’s. Coming down is not always a hire.
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
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.
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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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.
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.
The mission
Build a data platform that works as a business asset, not a cost centre.
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:
You are:
Bonus points for:
Why join InPost?
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.
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Warszawa/Kraków, Poland
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.