Data Analyst

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 resilient data pipelines.

Experience with API integrations and modern data architectures.

Solid software engineering practices including Git, CI/CD, automated testing, and DevOps ways of working.

• For our Client from banking industry we are looking for Data Analyst🔹

Hybrid working model: Preferred location: Gdańsk/Gdynia or Warsaw. Hybrid setup: 2/3 days in the office per week.

The consultant will join the Recovery Data Management team and support the ongoing development of data solutions within the Recovery domain. Working closely with business stakeholders and technology teams, the consultant will translate business requirements into scalable and reliable datasolutions.

The consultant is expected to work independently, take ownership of deliveries, and develop fast domain knowledge within the Recovery data area.

,[Gathering and analyzing business requirements., Designing, developing, and maintaining data models and resilient data pipelines., Taking ownership of deliveries from requirements through implementation, testing, and production deployment., Building 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 long-term maintainability, stability, and reliability of delivered solutions.] Requirements: SQL, Python, Snowflake, dbt, Airflow, CI/CD