Staff Data Engineer

Quick Facts

• Role: Staff Data Engineer (individual contributor)
• Focus: Feature-store and agentic data/ML workflows for credit decisioning
• Collaboration: Head of Data Engineering and Head of ML
• Work model: Hybrid; ideally one day per week in the Warsaw or Kraków office
• Contract: B2B

Description

Be the technical authority who designs and owns the data platform architecture, with a mission to build and operate the feature-store architecture that credit decisioning depends on. You will deliver reliable and cost-efficient schemas and pipelines with point-in-time correctness and freshness SLAs, plus reference implementations for modeling, lineage, and pipeline patterns. You will also own the agentic harnesses and loop/graph workflows connected to the feature store, including feature engineering, point-in-time validation, drift and data-quality observability.

Responsibilities

• Own the feature-store architecture and its reliability/efficiency targets
• Ensure schema, point-in-time correctness, and freshness SLAs
• Provide reference implementations others can reuse (pipeline patterns, modeling standards, lineage approach)
• Lead the most complex and highest-risk data initiatives, including cross-domain feature reuse across regulated entities
• Design agent-first delivery: agent loop design (context, tools, evals, guardrails) for reliable, observable, cost-controlled agentic engineering
• Build agentic harness and loop/graph agent workflows bound to the feature store: feature engineering, point-in-time validation, drift, and data-quality observability

Requirements

• 8+ years of data engineering experience at scale
• 5+ years in Spark/Databricks or equivalent lakehouse architecture
• Expertise in SQL and data modeling
• 7+ years of Python experience
• Experience with performance and cost engineering
• 3+ years working with agentic coding tools and loop engineering (context and tool design, evals, guardrails)
• Deep knowledge of LLM behavior and trade-offs for agentic harness/loop/graph engineering
• Staff-level ability to set standards through influence and mentoring
• Strong skills in data quality, observability, lineage, and GDPR-aware governance
• Fluent English (B2+)

Benefits

• Architectural authority from day one—set the standard
• Greenfield, high-stakes build with long-lasting design decisions
• Modern stack and a lean, AI-native team
• Hybrid role; ideally one day per week in Warsaw or Kraków
• B2B Contract