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.

• Must be willing to relocate to Nashville working in a HYBRID set-up

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