At a Glance
- Tasks: Design and optimise data pipelines using Microsoft Fabric and Azure technologies.
- Company: Join Willis Towers Watson, a leader in innovative data solutions.
- Benefits: Enjoy hybrid working, private healthcare, pension, and growth opportunities.
- Other info: Mentoring available in a dynamic environment focused on career growth.
- Why this job: Make an impact with AI-driven data solutions and enhance your skills.
- Qualifications: Experience in data engineering and familiarity with Azure tools.
The predicted salary is between 50000 - 52413 £ per year.
Willis Towers Watson in London seeks a data engineer to design, build, and optimize data pipelines using Microsoft Fabric, Azure Synapse, and Data Factory.
You will develop Py Spark notebooks, manage data lakes, and integrate AI/LLM workflows within the Power Platform to deliver actionable insights.
The role offers hybrid working, mentoring, and a competitive benefits package, including private healthcare and pension, with opportunities to grow in cloud data engineering and AI-enabled solutions.
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Data Engineer: AI-Driven Data Pipelines on Azure Fabric employer: Willis Towers Watson
WTW is an exceptional employer that prioritises the professional and personal growth of its employees, offering a comprehensive benefits package that includes generous annual leave, private healthcare, and a robust pension scheme. The collaborative work culture fosters strong relationships across teams, while the opportunity to engage in meaningful projects within the affinity insurance sector allows for impactful contributions to the company's success. With hybrid working options and a commitment to employee wellbeing, WTW stands out as a rewarding place to build a fulfilling career.
