Data Engineer

We are looking for a talented Data Engineer to join our Risk Management division and take part in building advanced data‑driven systems as part of a modern technological transformation.

About the Role:

• End‑to‑end development of data pipelines in a Data Lake environment
• Building data‑movement processes in relational data systems
• Developing Python scripts with a strong emphasis on PySpark
• Data development and analysis using SQL
• Performing unit and integration testing
• Working within CI/CD processes

What You Bring:

• 2+ years of hands‑on experience with Python
• 2+ years of experience with Big Data technologies, especially Spark and Hive
• Strong ability to read and write complex SQL queries
• At least 3 years of experience with Microsoft Data technologies (SSIS, SQL Server)
• Knowledge of DWH, Data Lake, ETL/ELT processes
• Experience with CI/CD pipelines
• Experience working with Control‑M
• Experience with Teradata- an advantage
• Familiarity with Qlik Sense or Quilliup- an advantage
• High sense of responsibility, independence, organizational skills, initiative, motivation, and strong energy
• A team player with excellent interpersonal skills and a strong desire to learn and grow