Senior Data Engineer

Quick Facts

• Role: Senior Data Engineer

• Work model: Hybrid (Gdynia / Gdańsk / Warszawa; 2–3 days per week in the office)

• Compensation: 1200–1400 PLN/day on B2B + VAT

Description

You will be involved in a financial project focused on Recovery Data Management, supporting scalable and reliable data solutions. You’ll collaborate with business stakeholders and technology teams to translate business requirements into robust data models and pipelines.

Responsibilities

• Gather and analyze business requirements and translate them into scalable data solutions

• Design, develop, and maintain data models and resilient data pipelines

• Own deliveries end-to-end, from requirements and implementation through testing and production deployment

• Build and optimize data solutions using SQL, Python, Snowflake, dbt, and Airflow

• Integrate data from enterprise APIs and other data sources

• Drive automation and apply modern engineering practices, including CI/CD and automated testing

• Ensure long-term maintainability, stability, and reliability of delivered solutions

Requirements

• Minimum 4 years of experience in Data Engineering and Data Warehousing

• Strong hands-on experience with SQL and Python

• Proven experience with Snowflake, dbt, and Airflow

• Strong data modelling skills and experience designing scalable and resilient data pipelines

• Experience with API integrations and modern data architectures

• Solid software engineering practices, including Git, CI/CD, automated testing, and DevOps

• Ability to work independently and take ownership of end-to-end deliveries

Benefits

• Flexible work organization

• International environment with daily English usage

• Work-life balance, with time for additional training financed (Jit)

• Regular integration meetings and community events