Data Analyst / Data Engineer

Quick Facts

• Role focused on data solutions for risks and AML (Anti-Money Laundering)
• Remote work model with an in-office visit in Wrocław once every 6 months
• B2B contract (rate up to 135 PLN/hour)

Description

Develop and maintain data solutions for risks and AML, including analyzing, processing, and modeling data from multiple sources. Design and optimize ETL processes using Python, Pandas, and Airflow, and work on database modeling with dimensional approaches (star/snowflake schemas, CDC, and SCDs). Gradually transition toward cloud solutions such as DataBricks and support AML analytics environments.

Responsibilities

• Develop and maintain AML/risk data solutions
• Analyze, process, and model data from multiple sources and databases
• Build and optimize ETL pipelines and supporting AML analytics environments
• Collaborate with business and administrators
• Analyze data and support tasks at the intersection of systems analysis and architecture
• Model and optimize databases using dimensional modeling; handle batch and incremental data

Requirements

• Very good SQL knowledge and experience with multiple database types and large data volumes
• Proficiency with window functions and query optimization
• Analytical skills and understanding of business context, interest in risk and AML
• Python knowledge for data processing/manipulation and ETL pipeline development
• Experience orchestrating data workflows (e.g., Airflow/SSIS)
• Data modeling experience: dimensional modeling (star schema, snowflake schema), batch/incremental processing
• Knowledge of Change Data Capture and Slowly Changing Dimensions
• Communicative English
• Nice to have: Cloud knowledge and willingness to learn Azure Databricks; dashboarding/reporting (e.g., Power BI)

Benefits

• Opportunity to work across diverse projects (Software, Embedded, Data, Cloud Services)
• Involvement in additional pre-sales and expert initiatives
• Medical care, sports card, and a cafeteria platform according to cooperation rules