Senior Data Analyst

Quick Facts

• Work model: Hybrid (2–3 days in the office per week)

• Location: Gdańsk, Gdynia, or Warsaw

• Rate: Up to 140 PLN/h

• Language: Fluent English

Description

You will support the ongoing development of Recovery-domain data solutions by translating business requirements into scalable, reliable data solutions. Working with business stakeholders and technology teams, you will take independent ownership of deliveries—from requirements through implementation, testing, and production deployment. You will also build domain knowledge quickly to improve the long-term quality of the delivered systems.

Responsibilities

• Gathering and analyzing business requirements

• Designing, developing, and maintaining data models and resilient data pipelines

• Owning deliveries end-to-end: requirements, implementation, testing, and production deployment

• Building and optimizing solutions using SQL, Python, Snowflake, dbt, and Airflow

• Integrating data through enterprise APIs and other data sources

• Driving automation and applying modern engineering practices, including CI/CD and automated testing

• Ensuring maintainability, stability, and reliability of delivered solutions

Requirements

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

• Strong, hands-on programming experience with SQL and Python

• Proven experience with Snowflake, dbt, and Airflow

• Strong data modeling skills and experience designing scalable, resilient data pipelines

• Experience with API integrations and modern data architectures

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

• Fluent English