What are the responsibilities and job description for the Data Engineer position at WTW?
The Company
At WTW (NASDAQ: WTW), we provide data-driven, insight-led solutions in the areas of people, risk, and capital. Leveraging the global view and local expertise of our colleagues serving 140 countries and markets, we help you sharpen your strategy, enhance organizational resilience, motivate your workforce, and maximize performance.
Working shoulder to shoulder with you, we uncover opportunities for sustainable success—and provide perspective that moves you.
The Role:
Who We Are Looking For
Are you someone who loves tackling complex data problems and building next-level data solutions? Do you get excited about working with Azure Synapse, PySpark, and AI/LLM models? If so, we want to talk to you! We’re on the hunt for a Data Engineer who’s ready to jump in, optimize data pipelines, and shape how we process big data in the cloud for our Business users in Corporate Risk and Broking (CRB). If you enjoy working in a fast-moving, collaborative environment where your work makes a real impact, this could be the perfect role for you.
What You’ll Be Doing
- Designing, building, and optimizing data pipelines using Azure Synapse, Azure Data Factory, and Azure Fabric.
- Writing and fine-tuning PySpark notebooks to handle massive data workloads efficiently.
- Troubleshooting and enhancing ETL/ELT workflows in Azure Synapse.
- Managing and organizing Data Lakes to ensure seamless data access and performance.
- Integrating AI/LLM models into data pipelines to drive innovation and insights.
- Collaborating with Data Scientists, AI Engineers, and Analysts to create powerful data-driven solutions.
- Ensuring data security, governance, and compliance within our Azure ecosystem.
- Staying ahead of the curve with emerging cloud, AI, and big data technologies.
