Data Engineer

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.

The Requirements:

What You Bring to the Table

• 5+ years of experience in Data Engineering, with expertise in Azure Synapse Analytics.
• Solid programming skills in PySpark, SQL, and Python.
• Hands-on experience with Azure Data Factory, Azure Fabric, and Data Lake Storage (ADLS).
• Deep understanding of data warehousing, modeling, and architecture best practices.
• Knowledge of AI/LLM applications and how they connect with data pipelines.
• Experience with CI/CD pipelines, DevOps, and Infrastructure as Code (IaC).
• Strong problem-solving skills and a knack for debugging tricky data pipeline issues.
• Great communication skills and a team-player attitude.

Bonus Points If You Have

• Certifications in Azure Data Engineer Associate or Azure Solutions Architect.
• Experience with real-time streaming solutions like Azure Stream Analytics, Kafka, or Event Hubs.
• Familiarity with Databricks and its integration with Azure Synapse.
• Knowledge of Graph Databases and NoSQL technologies.

Why You’ll Love Working Here

• Work with the latest cloud and AI technologies—always stay ahead of the game.
• Be part of a collaborative and forward-thinking team that values your ideas.
• Competitive salary, benefits, and plenty of opportunities to grow your career.
• A flexible, modern work environment designed for how people work today.

We’re not just looking for someone to check off the skills list—we want a problem solver, an innovator, and someone who loves working with data. If this sounds like you, hit us up!

This position will remain posted for a minimum of three business days from the date posted or until a sufficient/appropriate candidate slate has been identified.

Note: Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity.

Compensation and Benefits
Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only).

Compensation
This role is also eligible for an annual short-term incentive bonus.

Company Benefits
WTW provides a competitive benefit package which includes the following (eligibility requirements apply):

• Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)
• Leave Benefits: Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off 
• Retirement Benefits: Contributory Pension Plan and Savings Plan (401k). All Level 38 and more senior roles may also be eligible for non-qualified Deferred Compensation and Deferred Savings Plans. 

At WTW, we trust you to know your work and the people, tools and environment you need to be successful. The majority of our colleagues work in a ”hybrid” style, with a mix of remote, in-person and in-office interactions dependent on the needs of the team, role and clients. Our flexibility is rooted in trust and “hybrid” is not a one-size-fits-all solution.

We understand flexibility is key to supporting an inclusive and diverse workforce and so we encourage requests for all types of flexible working as well as location-based arrangements. Please speak to your recruiter to discuss more.

EOE, including disability/vets