Senior Data Engineer - GBCI Data & Insights

Ready to build the trusted data foundation behind the future of Analytics in the Global Broking Centre? Do you enjoy turning complex, fragmented data into meaningful business insight?

Join us and help shape the next generation of analytics, reporting and AI capability across Aon!

This is a hybrid role with the flexibility to work both virtually and from our London office.

Aon is in the business of better decisions. At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.

What the day will look like

As a Senior Data Engineer within GBCI Data & Insights, you will be responsible for building the trusted, reusable data foundation that powers analytics across our Global Broking Centre. You will transform fragmented operational, placement, financial, claims and market data into governed, scalable data products that support reporting, analytics and future AI capabilities.

Key responsibilities include:

• Designing and developing scalable data pipelines and integration solutions across multiple source systems.
• Creating curated, business-ready datasets and data models that support Power BI, analytics and AI use cases.
• Implementing data quality controls, governance, lineage and monitoring processes.
• Supporting major business transformation programmes across the London Market.
• Working closely with analysts, business stakeholders and technology teams to deliver trusted, decision-ready insight.

How this opportunity is different

This role offers the opportunity to help shape the future of Broking Analytics within one of the world's leading professional services firms. You will work at the centre of Aon's analytics transformation, developing the engineering capability that connects business systems, reporting, insight generation and emerging AI solutions. Working alongside analytics leaders, business stakeholders and technology teams, you will directly influence how analytics is delivered across the Global Broking Centre.

This is far more than a traditional data engineering role. You will help create the trusted analytics layer that enables commercial insight, operational efficiency and better business decisions across a global organisation.

Skills and experience that will lead to success

• Strong experience in data engineering, including SQL, Python and modern ETL/ELT development.
• Experience with cloud data platforms such as Databricks, Microsoft Fabric, Snowflake or equivalent technologies.
• Strong understanding of data modelling, data warehousing, governance and analytics architecture principles.
• Experience implementing automated testing, CI/CD, monitoring and production data operations.
• Ability to communicate effectively with technical and non-technical stakeholders. London Market or Insurance experience is essential.

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