Join the Data Engineering and Operations team at Sun Life as a Senior Data Engineer, focusing on transforming diverse data streams into valuable analytics. Your expertise is key to guiding pipeline design and ETL process optimization. In this role, you will collaborate with a dedicated team of analytics professionals to develop data pipelines using AWS Glue, Kafka, and Step Functions.

This position emphasizes mentoring fellow Data Engineers and requires deep knowledge of data models and industry best practices, ensuring data quality and compliance. You will play an integral role in streamlining data-driven decisions for Sun Life's operations. Key Responsibilities:

- Design and maintain scalable data pipelines with AWS Glue and Kafka




- Implement optimized ETL processes using Informatica or SSIS
- Guide Data Engineers in ETL best practices
- Create data models for business intelligence initiatives
- Troubleshoot and resolve data-related issues Requirements:
- Bachelor’s degree in IT or related field
- 5-10 years of ETL design and development experience
- Solid SQL and Python proficiency
- Experience with AWS services and data warehousing
- Familiarity with Kafka and stream processing Leverage your skills in data engineering to make a significant impact on Sun Life's analytics capabilities.

📌 Senior Data Engineer at Sun Life (London)
🏢 Sun Life Financial
📍 London