Senior Data Engineer

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Description

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 Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email] with your updated CV. Only shortlisted candidates will be responded

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