The 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.
You 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