Data Engineer
Summary: The primary goal of this role is to enhance the data engineering lifecycle with AI, specifically through the development and maintenance of the Data Packaging Framework. This role is crucial for transforming source data into standardized formats and ensuring effective delivery of Data Products.
What we offer:
Contract Length: 12 months+ prolongation
Type of contract: B2B Contract
Salary grids: 150-170 zł/h
Work Model: hybrid from Gdańsk or Warsaw (3 days office, 2 days remote)
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Main Responsibilities:
Build and evolve workflows using LLM/agent assistance to improve developer productivity in data pipeline delivery.
Implement AI-driven schema review and governance as part of automation.
Drive AI-supported test automation including end-to-end test generation and validation.
Develop data packaging pipelines converting source data into canonical formats.
Manage SQL-based transformation logic within data pipelines.
Support the canonical message schema lifecycle, including validation and compatibility checks.
Contribute to operational stability, documentation, and Architecture Decision Records (ADRs).
Key Requirements:
Strong AI / GenAI capability
Hands-on experience in building LLM-powered automation for engineering workflows
Experience with AI-assisted review flows integrated into CI/CD pipelines
Nice to Have:
Familiarity with Data Reference Architecture or data product models
Knowledge of Airflow, Snowflake, Iceberg, or similar platforms
Experience with Big Data, Spark and/or Scala.
Exposure to data governance, metadata, and lineage concepts
Experience in banking or regulated environments