IFRSData Engineer Python and PySpark

Position: IFRS17 Data Engineer with Python and PySpark
Advance your expertise as a Senior Data Engineer focusing on IFRS
17. Leverage your skills in SQL, Python, and PySpark to drive data engineering excellence.

In this 12-month role, you'll engage in hands-on data analysis and engineering within the insurance domain. Your primary responsibilities will involve developing backend systems, implementing ETL pipelines, and leading technical teams. Strong analytical skills and a collaborative spirit are vital for success in this position.

Key Responsibilities:

• Develop and maintain backend systems using Python, ensuring scalability

• Design ETL pipelines using PySpark for efficient data processing

• Mentor engineers and conduct detailed code reviews

• Collaborate with Product Owners to refine project requirements

• Create and maintain technical documentation for software solutions

Requirements:

• Expertise in IFRS
17 and Data Engineering principles

• Strong skills in SQL, Python, and Py Spark

• Experience with Dev Ops and CI/CD implementations

•

Required:

Senior-level experience

• Knowledge of Agile frameworks like Scrum or Kanban

Make a significant impact by enriching our data infrastructure and technical processes.
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