Data Analyst
Summary
Consultant joins a banking client's Recovery Data Management team, translating business requirements into scalable, reliable data solutions in the Recovery domain. Core stack is SQL, Python, Snowflake, dbt and Airflow; hybrid setup with 2-3 office days per week in Gdańsk/Gdynia or Warsaw.
- 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.
- 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.