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: 130-150 zł/h

Work Model: hybrid (3 days office, 2 days remote)

• 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

• Exposure to data governance, metadata, and lineage concepts

• Experience in banking or regulated environments