Description

About WTW:

��մ��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, ��մ��has 45,000 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 �C the dynamic formula that drives business performance. Together, we unlock potential. Learn more at ?
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About the team:

The Health & Wealth Technology (HWT) team sits within WTW��s WEDO H&B Technology organization and supports the broader Health, Wealth & Career segment through technology?driven 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

Qualifications

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

We��re 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?candidatehelpdesk@wtwco.com.?

Unsolicited Contact

Any unsolicited resumes/candidate profiles submitted through our web site or to personal e-mail accounts of employees of Willis Towers Watson are considered property of Willis Towers Watson and are not subject to payment of agency fees. In order to be an authorized Recruitment Agency/Search Firm for Willis Towers Watson, any such agency must have an existing formal written agreement signed by an authorized Willis Towers Watson recruiter and an active working relationship with the organization. Resumes must be submitted according to our candidate submission process, which includes being actively engaged on the particular search. Likewise, for our authorized Recruitment Agencies/Search Firms, if the candidate submission process is not followed, no agency fees will be paid by Willis Towers Watson. Willis Towers Watson is an equal opportunity employer. If you would like to have your contact information saved for future consideration, please email: Agency.inquiries@willistowerswatson.com.

Our Offices

Our colleagues serve more than 140 countries and markets around the world. This gives a global dimension to everything we do and creates lots of exciting opportunities for you to collaborate and grow. Explore the map below to see where you career could take you.

Senior Azure Data Engineer