28 days ago
Warsaw, PolandStaff+
Responsibilities
- Design and own the feature-store architecture supporting credit decisioning.
- Define schemas, point-in-time correctness standards, freshness SLAs, pipeline patterns, modelling standards, and lineage approaches.
- Lead high-complexity, high-risk data initiatives, including cross-domain feature reuse across regulated entities.
- Design and build agent loops, context and tool systems, evaluations, guardrails, and loop or graph workflows connected to the feature store.
- Own feature engineering, point-in-time validation, drift monitoring, and data-quality observability.
- Set reference implementations and standards for other engineers to reuse.
- Lead data engineering initiatives through technical credibility, influence, and mentoring rather than direct authority.
- Optimize data platform performance and operating costs.
Requirements
- 8+ years of experience in data engineering at scale.
- 5+ years of experience with Spark, Databricks, or equivalent lakehouse architecture.
- 7+ years of experience with SQL, data modelling, and Python.
- 3+ years of experience with agentic coding tools and loop engineering, including context and tool design, evaluations, and guardrails.
- Deep knowledge of LLM behavior and agentic harness, loop, and graph engineering trade-offs.
- Strong experience with data quality, observability, lineage, and GDPR-aware governance.
- Staff-level individual-contributor experience setting standards through influence and mentoring.
- Fluent English at B2 level or higher.
- Feature-store or production ML data-serving experience is preferred.
- Payments, fintech, or lending data experience is preferred.
- Kafka or Structured Streaming and CDC experience is preferred.
- dbt governance experience is preferred.
- CCD2 and DORA awareness is preferred.
Benefits
- Hybrid work, ideally one day per week in the Warsaw or Kraków office.
- B2B contract.
- Greenfield, high-stakes platform work with architectural authority from day one.
- Opportunity to work directly with the Head of Data Engineering, Head of ML, and InPost executive team.
Tech Stack
Categories
Data Engineering
About InPost
InPost is a public logistics company listed on Euronext Amsterdam that builds and operates an out-of-home parcel delivery network for e-commerce. Its network includes more than 50,000 out-of-home pick-up points, including over 27,000 parcel lockers, plus to-door courier and fulfillment services for online merchants across Poland, the UK, Italy, Iberia, France and Benelux. Headquartered in Luxembourg, it acquired French operator Mondial Relay in 2021.