Senior Data Engineer in IFRS17 and Python

Advance your career as a Senior IFRS
17 Data Engineer with expertise in SQL, Python, and PySpark. This role requires hands-on experience in data analysis and the insurance domain, emphasizing backend systems development.

We are seeking a Senior Data Engineer with deep knowledge of IFRS
17 principles to lead data engineering projects. Responsibilities include designing and implementing ETL pipelines using PySpark, mentoring team members, and collaborating with cross-functional teams. Your technical leadership will drive architecture decisions, ensuring high performance and scalability.

Key Responsibilities:

• Develop backend systems leveraging Python and Py Spark

• Design and implement ETL pipelines for robust data processing

• Collaborate with teams to prioritize project specifications

• Mentor engineers through code reviews and best practices

• Maintain technical documentation and architecture diagrams

Requirements:

• Strong expertise in IFRS
17 and data engineering

• Proficient in SQL, Python, and Py Spark

• Experience in Dev Ops practices and CI/CD pipelines

• Hands-on knowledge of cloud platforms like AWS or Azure

• Agile methodologies experience, such as Scrum

Utilize your data engineering and technical leadership skills in a dynamic environment, focusing on innovative solutions.
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