Staff Data Engineer: Lead Feature-Store Architect for AI

InPost UK; Województwo mazowieckie; Hybrid; PLN 360,000 - 540,000; Full time

Benefits offered by this job

Hybrid work arrangement

B2B contract

Job summary

InPost UK is hiring an architecture-focused data engineer to own the feature-store and agentic workflows. You will design and drive the data platform, collaborating with Head of Data Engineering and Head of ML to enable scalable, reliable credit decisioning on a modern AI-native stack.

You will lead high-complexity data initiatives, establish reference patterns, and ensure GDPR-aware governance. The role is hybrid with potential Warsaw/Kraków presence, offering a B2B contract.

Qualifications

• 8+ years in data engineering at scale.
• 5+ years in Spark/Databricks or equivalent lakehouse architecture.
• Strong SQL, data modelling and Python (7+ years).
• Experience with agentic coding tools and loop engineering.

Responsibilities

• Design and own the feature-store architecture that credit decisioning will depend on.
• Set pipeline patterns, modelling standards and lineage approach.
• Lead high-complexity data initiatives and cross-domain reuse across entities.
• Design the agent loop to be reliable, observable and cost-controlled.
• Shape data that speeds money-making decisions.

Skills

Data engineering

Spark/Databricks

SQL

Python

Agent loops

Data quality

Observability

GDPR governance

Mentoring by influence

Feature-store

Tools

Databricks

Kafka

DBT

Job description

InPost UK is hiring an architecture-focused data engineer to own the feature-store and agentic workflows. You will design and drive the data platform, collaborating with Head of Data Engineering and Head of ML to enable scalable, reliable credit decisioning on a modern AI-native stack.

You will lead high-complexity data initiatives, establish reference patterns, and ensure GDPR-aware governance. The role is hybrid with potential Warsaw/Kraków presence, offering a B2B contract.