Senior Azure Data Engineer

About WTW:

WTW is a leading global advisory broking and solutions company that helps clients around the world turn risk into a path for growth. With roots dating to 1828 WTW has 45000 employees serving more than 140 countries. We design and deliver solutions that manage risk optimize benefits cultivate talent and expand the power of capital to protect and strengthen institutions and individuals. Our unique perspective allows us to see the critical intersections between talent assets and ideas the dynamic formula that drives business performance. Together we unlock potential. Learn more at the team:

The Health & Wealth Technology (HWT) team sits within WTWs WEDO H&B Technology organization and supports the broader Health Wealth & Career segment through technologydriven solutions. The team is closely involved in capability building and delivering engineering excellence across data cloud and platform initiatives. Their work underpins critical functions that enable scalable digital products for health and wealth benefits across global markets.

Summary:

Senior Azure Data Engineer involved in all stages of the development life cycle through requirements analysis coding unit testing system testing User Acceptance Testing and warranty-support.

Role:

• Analyzing data sets and designing and coding stable and scalable data pipelined also integrating into existing data pipelines.
• Ensure timely delivery of systems that meet functional requirements by performing comprehensive unit testing.
• Implement processes and tools to ensure data quality and reliability.
• Review refactor and debug code to identify and resolve defects improve performance and address technical debt.
• Provide technical support and troubleshooting assistance for developed systems ensuring smooth operation and issue resolution.
• Collaborate with clients and stakeholders to understand business requirements and align technical solutions to meet their needs.

Requirements:

• 7 years of experience with Azure Data Factory Synapse Fabric Python Pyspark
• Good to have Azure DevOps Azure Function App C# Power BI Gen AI

Graduate with Engineering and IT specialization

The Application Process

• Stage 1: Online application review
• Stage 2: Pre-recorded video screening
• Stage 3: Live video or in-person interview (round 1)
• Stage 4: Live video or in-person interview (round 2)
• Stage 5: Offer & onboarding

Were committed to equal employment opportunity and provide application interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers from the application process through to joining WTW please email.