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Senior data engineer

London
IPS
Data engineer
£80,000 - £100,000 a year
Posted: 21 September
Offer description

Location:
City of London (Hybrid: 4 days in the office)

Type:
Permanent

Salary:
£80,000-£100,000

We're working with a respected and fast-evolving Lloyd's managing agent that's leading the way across multiple lines, including Property, Casualty, and Specialty. As part of a major transformation, they're building a modern, business-driven data platform from the ground up – and they're looking for a Senior Data Engineer to help shape it.

About the Business

This Lloyd's managing agent is authorised and regulated by the PRA and FCA, managing a high-performing syndicate. They are known for underwriting excellence and are investing heavily in data and technology to support their long-term growth.

Why this role?

You'll play a key role in delivering a robust, scalable data platform that unlocks better MI, improves data quality, and drives automation across the business. You'll work closely with teams across Actuarial, Finance, and IT – helping to bring their data needs to life.

This is a genuinely exciting opportunity to influence the data direction of a Lloyd's business, not just maintain it.

Key responsibilities:

* Design and build Data Lake and Data Warehouse solutions
* Create scalable, automated batch and streaming data pipelines
* Optimise metadata, catalogue, lineage, and data quality processes
* Support business teams with data visualisation and reporting solutions
* Ensure secure handling of complex and sensitive data
* Collaborate with stakeholders across the business to deliver value-driven solutions

What we're looking for:

* London/Lloyd's Market experience is
essential
* Strong programming skills in Python and SQL; knowledge of Java or Scala is a plus
* Solid experience with relational databases and data modelling (Data Vault, Dimensional)
* Proficiency with ETL tools and cloud platforms (AWS, Azure or GCP)
* Experience working in Agile and DevOps environments
* Knowledge of AI/ML applications in data workflows is desirable
* Familiarity with visualisation tools like Power BI, Tableau, or Qlik

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