Senior Data Engineer
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Summary
Senior Data Engineer designing, building and optimising scalable ETL pipelines, data models and data marts to support analytics, reporting and decision-making in a life insurance environment, using big data technologies like Hadoop, Spark and Hive on AWS, Azure or GCP.
We’re looking for an experienced Data Engineer to build and optimise scalable data pipelines and data platforms. You’ll work closely with business and technology teams to deliver reliable, high-quality data solutions that support analytics, reporting and business decision-making.
What you’ll do
- Design, build and maintain scalable ETL/data pipelines
- Develop data models and data marts for analytics and reporting
- Work with large datasets and improve data quality, reliability and performance
- Build monitoring, logging and alerting for data pipelines
- Collaborate with business and technical stakeholders on data requirements
- Lead code reviews, testing and production deployments
- Troubleshoot and optimise pipeline performance
- Drive improvements across data engineering processes and architecture
- Support data solutions within a Life Insurance environment
What we’re looking for
- 5+ years of experience in Data Engineering / ETL
- Strong experience with Hadoop, Spark, Hive or similar big data technologies
- Experience with AWS, Azure or GCP
- Strong understanding of data modelling, data pipelines and data architecture
- Life Insurance experience is highly preferred
- Strong problem-solving and stakeholder management skills
- Comfortable working independently in a fast-paced environment