Senior Data Engineer in IFRS17 and Python

Advance your career as a Senior IFRS17 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 IFRS17 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 PySpark
• 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 IFRS17 and data engineering
• Proficient in SQL, Python, and PySpark
• Experience in DevOps 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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