Be the Architect the whole data platform is built around.
We are building a scale-up inside InPost, and AI will flow through it. You would be the anchor hire of the data engineering team: the technical authority whose design decisions every other engineer builds on. You'd work directly with the Head of Data Engineering and the Head of ML, with the InPost executive team backing the build. This is an individual-contributor role with organisation-wide scope. Your influence comes from your technical credibility, not your headcount. Our word is extreme ownership.
Job DescriptionThe mission
Design and own the feature-store architecture that credit decisioning will depend on.
- Schema, point-in-time correctness and freshness SLAs, designed to be reliable and cheap to run.
- Reference implementations. You set the pipeline patterns, modelling standards and lineage approach that others copy.
- The hardest problems first. You lead the highest-complexity, highest-risk data initiatives, including cross-domain feature reuse across regulated entities.
- Agent-first delivery. You design the agent loop (context, tools, evals, guardrails) so agentic engineering is reliable, observable and cost-controlled.
- Data that earns. Your architecture directly shapes the quality and speed of money-making decisions.
You will own the architecture and inner workings of agentic harnesses and loop/graph agent workflows bound to the feature store: feature engineering, point-in-time validation, drift and data-quality observability. You set the reference patterns others reuse.
QualificationsYou are:
- Someone who loves data and loves building systems around it.
- Hands-on first. You design and you build, with AI as a daily tool.
- Experienced with 8+ years in data engineering at scale, and 5+ years in Spark/Databricks or equivalent lakehouse architecture.
- Expert in SQL, data modelling, and Python (7+ years), plus performance and cost engineering
- Experienced with agentic coding tools and loop engineering (3+ years): context and tool design, evals, guardrails
- Curious about advanced agentic harness, loop, and graph engineering, with deep knowledge of LLM behavior and trade-offs
- A Staff-level engineer who sets standards through influence, not authority
- Strong in data-quality, observability, lineage and GDPR-aware governance.
- A technical leader without authority, who sets standards and mentors through influence.
- Fluent in English (B2+).
Bonus points for:
- Feature-store or ML data serving in production
- Payments, fintech or lending data experience
- Streaming (Kafka/Structured Streaming) and CDC
- DBT governance experience.
- CCD2/DORA awareness
Why this one:
- Architectural authority from day one. You set the standard.
- Greenfield, high stakes. Your design decisions last for years.
- A modern stack and a lean, AI-native team.
- Hybrid, ideally one day a week in the Warsaw or Kraków office.
- We offer a B2B Contract
Skills Required
- 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 Python
- Expertise in SQL, data modeling, performance engineering, and cost engineering
- 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
- Staff-level technical leadership and ability to set standards through influence
- Experience with data quality, observability, lineage, and GDPR-aware governance
- Fluent English at B2+ level
- Feature-store or ML data serving experience in production
- Payments, fintech, or lending data experience
- Experience with Kafka, Structured Streaming, and CDC
- dbt governance experience
- CCD2/DORA awareness
What We Do
InPost is the most successful operator of automated parcel lockers in Europe and also the one and only company in the world that is both a heavy operational user of APM machines as well as their manufacturer. InPost Parcel Lockers revolutionized the e-commerce delivery by providing a convenient way to send, collect and return parcels whenever the customer chooses, through a network of conveniently located and easy to use terminals.It is important for us to protect your personal data, our privacy policy can be found under the link: https://inpost.pl/ochrona-danych-osobowych
