Aon is looking to welcome a Back End Engineer – Data APIs & Insights to our growing technology team. In this role, you’ll help build and scale the data infrastructure and APIs that power our market intelligence products—serving high-value insights to clients across enterprise web applications.
This is a hybrid role with the flexibility to work both virtually and from our Dublin office.

SKILLS AND EXPERIENCE THAT WILL LEAD TO SUCCESS

The ideal Data Products Engineer will have:

• Few years of professional software engineering experience, ideally in B2B or data product environments.
• Deep experience with Python, including libraries like Polars, PySpark, and frameworks such as FastAPI or Fastify and up-to-date with modern Python best practices, including tools such as Ruff, UV and PyEnv.
• Experience working on data-heavy platforms or with AI/ML outputs exposed via APIs
• Proficient in designing, building, and scaling RESTful APIs (GraphQL experience is a bonus).
• Strong knowledge of cloud infrastructure, especially the AWS stack (Lambda, ECS, S3, CloudWatch, etc.).
• Solid understanding of data performance trade-offs—e.g. query optimization, memory use, parallelism.
• Familiarity with modern CI/CD pipelines, containerisation (Docker), and IaC tools like Terraform.
• Strong collaboration skills—able to partner with front end teams and product stakeholders to ship well-integrated features.
• Comfortable in fast-paced, high-autonomy environments with a strong culture of accountability.

Nice to Have:

• Familiarity with React and how front end teams consume and interact with back end services.
• Experience with the Databricks platform and ecosystem.
• Prior experience in a market intelligence, financial data, or analytics SaaS business.
• Working knowledge of SQL/NoSQL databases and data modelling in analytics contexts.
• Comfortable working with AI developer assistants (e.g. GitLab Copilot).

• Design and develop modern APIs that serve both raw data and AI-generated insights to our suite of client-facing web applications.
• Build and optimise performant data pipelines using Polars, FastAPI, and Python, ensuring fast response times and efficient memory usage.
• Collaborate closely with front end engineers, product managers, and machine learning engineers to deliver seamless, user-focused features.
• Implement API-first architecture practices, with careful attention to schema design, versioning, and documentation.
• Work across the AWS stack, deploying scalable services that power mission-critical experiences for enterprise users.
• Contribute to system design decisions, database modelling, and service orchestration to ensure resilient, maintainable back end systems.
• Monitor and tune application performance, from query speeds to service latency and throughput.
• Support a culture of engineering excellence, code quality, and continuous improvement