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WTW
This role involves designing, building, and optimizing data pipelines using Microsoft Fabric, Azure Synapse, and Azure Data Factory to manage large-scale data workloads. The Data Engineer will integrate AI/LLM models and Copilot agents into data pipelines while supporting testing, validation, and automation workflows using the Power Platform. The position requires collaboration with business teams and data experts to create data-driven solutions and ensure data security and governance within the Azure ecosystem.
Headquarters
London, England, United Kingdom
Company Size
10001+ employees
Founded
1828
WTW (Willis Towers Watson) is a global advisory, broking and solutions firm that delivers data-driven, insight-led services across people, risk and capital. It provides HR and benefits consulting, insurance and reinsurance broking, risk management, investment and retirement solutions, and workforce analytics and technology. Employers, insurers, asset managers and governments use WTW’s analytics, actuarial expertise and digital tools to design benefits, manage risk and optimize capital. The firm emphasizes data and technology to guide strategic decisions and operational programs worldwide.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for WTW.
WTW didn’t post a salary, so this is our estimate from similar listings.
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