Staff Data Engineer: Feature Store Architect for AI Platform

InPost; Województwo mazowieckie; Hybride; PLN 320 000 - 520 000; Plein temps

Avantages offerts par ce poste

Hybrid work

B2B contract

Office in Warsaw or Kraków

Résumé du poste

InPost is seeking a Staff‑level Data Engineer to design and own the feature-store architecture that credit decisioning will depend on. You will set patterns, modelling standards, and data lineage, ensuring reliability and cost-efficiency.

You will work closely with the Head of Data Engineering and the Head of ML in a hybrid Poland setup, guiding cross-domain data initiatives and architecting agentic harnesses for scalable pipelines.

Qualifications

• 8+ years in data engineering at scale.
• 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+).

Responsabilités

• Design and own the feature-store architecture for credit decisioning.
• Set pipeline patterns, modelling standards and lineage approach.
• Lead high-complexity, high-risk data initiatives with cross-domain reuse.
• Design agent loop (context, tools, evals, guardrails) for reliable, cost-controlled engineering.
• Shape data that speed up money-making decisions.

Connaissances

8+ years data engineering

Spark/Databricks

SQL

Python

agentic coding tools

loop engineering

LLM behavior knowledge

influence through standards

GDPR governance

Outils

Spark/Databricks

Description du poste

InPost is seeking a Staff‑level Data Engineer to design and own the feature-store architecture that credit decisioning will depend on. You will set patterns, modelling standards, and data lineage, ensuring reliability and cost-efficiency.

You will work closely with the Head of Data Engineering and the Head of ML in a hybrid Poland setup, guiding cross-domain data initiatives and architecting agentic harnesses for scalable pipelines.