Description

About the Team:

Neuron is a fast-growing digital initiative within WTW, revolutionizing risk placement and trading in the global insurance market. We are seeking a Data Engineer with a passion for hands-on coding, data analysis, and intelligent API integration. The role will support the design and delivery of data-driven products with a particular focus on leveraging Python, LLMs, and cloud-native technologies.

About The Role:

• Integrate with internal/external LLM APIs (e.g., OpenAI, Azure OpenAI), including prompt engineering and pre/post-processing as required.

• Build and maintain data analysis workflows using Pandas for data transformation and insight delivery.

• Develop RESTful APIs using FastAPI or Flask for data and document management.

• Design and implement clean, efficient, and modular Python codebases for backend services, data pipelines, and document processing workflows.

• Support the team in onboarding new data sources, integrating with Azure services, and ensuring smooth cloud deployments.

• Collaborate with product, data science, and engineering teams to translate business requirements into technical solutions.

• Write unit tests and contribute to CI/CD pipelines for robust, production-ready code.

• Stay up to date with advances in Python, LLM, and cloud technologies.

The Requirements:

• Exposure to LLM integration (prompt design, API integration, handling text data).

• Strong experience in Python with focus on data analysis (Pandas) and scripting.

• Hands-on experience in building REST APIs (FastAPI or Flask).

• Experience in developing data pipelines, data cleaning, and transformation.

• Working knowledge of Azure cloud services (Azure Functions, Blob Storage, App Service, etc.)

• (Nice to have) Experience integrating MongoDB with Python for data storage, modelling, or reporting.

Skills:

• Strong problem-solving and quantitative skills.

• Impactful written and verbal communication.

• Ability to work both independently and collaboratively in an agile, fast-paced team.

• Business acumen and eagerness to learn new technologies.

• Self-driven and able to manage tasks and priorities effectively.

Nice-to-Have:

• Experience with MongoDB modelling and aggregation pipelines.

• Familiarity with Datadog or other observability/monitoring tools.

• Exposure to document management workflows (upload, versioning, tagging).

• Insurance or financial services experience.

Qualifications

Graduate
6 to 9 years of hands-on experience in data engineering or backend development with Python.

We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com.

Unsolicited Contact

Any unsolicited resumes/candidate profiles submitted through our web site or to personal e-mail accounts of employees of Willis Towers Watson are considered property of Willis Towers Watson and are not subject to payment of agency fees. In order to be an authorized Recruitment Agency/Search Firm for Willis Towers Watson, any such agency must have an existing formal written agreement signed by an authorized Willis Towers Watson recruiter and an active working relationship with the organization. Resumes must be submitted according to our candidate submission process, which includes being actively engaged on the particular search. Likewise, for our authorized Recruitment Agencies/Search Firms, if the candidate submission process is not followed, no agency fees will be paid by Willis Towers Watson. Willis Towers Watson is an equal opportunity employer. If you would like to have your contact information saved for future consideration, please email: Agency.inquiries@willistowerswatson.com.

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Data Engineer (Python)