Senior Data Engineer (Snowflake)

TL;DR

Senior Data Engineer (Snowflake): Designing and building robust data models and pipelines for a banking corporate credit unit with an accent on modernization from fragmented systems to a unified solution. Focus on implementing TDD, clean architecture, and AI-assisted development practices to optimize engineering productivity.

Location: Hybrid (4 days office, 1 day remote) in Warsaw or Gdańsk, Poland

Salary: up to 180 PLN / hour (B2B)

Company

Recruitment and consulting company representing a prominent player in the banking industry.

What you will do

• Take full end-to-end ownership of designing and building robust data models and data pipelines.
• Drive the modernization process, transitioning from fragmented local systems to a unified data solution.
• Translate complex business problems into actionable data solutions by bridging the gap between stakeholders and engineering.
• Set high delivery standards and champion modern engineering practices like TDD and clean architecture.
• Implement AI-assisted development practices, such as GitHub Copilot and internal agents, to enhance productivity.

Requirements

• Strong experience in data engineering and building large-scale modern data warehousing solutions.
• Advanced hands-on experience with Snowflake, dbt, and Airflow.
• Solid experience with CI/CD and pipeline orchestration.
• English: C1 (Advanced) required for communication with international stakeholders.
• Strategic mindset with a focus on long-term maintainability over short-term fixes.

Nice to have

• Experience with DB2.

Culture & Benefits

• Opportunity to be a foundational member of a newly formed team and shape data architecture from the ground up.
• Dynamic environment encouraging the use of the newest AI tools.
• Competitive B2B contract terms.
• Hybrid work model with a balance of office and remote presence.