Staff Data Engineer - Fintech Platform (m/f/n)

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 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. - 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