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Data Engineering Manager

KDR Talent Solutions
City of London
3 weeks ago
Applications closed

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Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Lead Data Engineer | London hybrid | Insurance

The Opportunity

Are you passionate about building cutting-edge data platforms that drive business growth? Our client who is a prominent London Market insurer is looking for a skilled and motivated Lead Data Engineer to play a key role in the creation of a brand-new data platform within the Azure ecosystem and Databricks.
This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long standing London Market Insurer. You’ll help shape the data strategy, improve data quality, and empower the business to make data-driven decisions.
As a Lead Data Engineer, you'll work closely with both technical and business stakeholders, leveraging your expertise to design, develop, and optimize a high-performance data platform built on Databricks. This platform will be built to scale, incorporating the latest advancements in data intelligence while supporting strategic business objectives.

Key Responsibilities

Build & Develop

– Design and maintain a robust Databricks

Data Platform, ensuring performance, scalability, and availability.
Data Pipelines

– Connect APIs, databases, and data streams to the platform, implementing ETL/ELT processes.
Data Integrity

– Embed quality measures, monitoring, and alerting mechanisms.
CI/CD & Automation

– Create deployment pipelines and automate workflows.
Collaboration

– Work with stakeholders across Global IT, Data, and Broking teams to translate business requirements into technical solutions.
Futureproofing

– Drive the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies.

What You’ll Bring

✅ Extensive hands-on experience with Databricks, and Microsoft Azure data tools (Azure Data Factory, Azure Synapse, or Azure SQL).
✅ Dimensional modelling expertise for analytics use cases.
✅ Strong ETL/ELT development skills.
✅ Python/Pyspark

experience
✅ Experience with CI/CD methodologies for data platforms.
✅ Deep knowledge of SQL

Why Join?

Greenfield Project

– Work on an all-new data platform, shaping its architecture from the ground up.
Collaborative Culture

– Engage with global teams in an agile, innovative environment.
Career Growth

– Play a pivotal role in driving data excellence within a forward-thinking business.
Cutting-Edge Tech

– Work with the latest advancements in Azure, Databricks, and Data Engineering.
This is a fantastic opportunity for a Lead Data Engineer looking to make a tangible impact. If you’re ready to take on a challenging and rewarding role, apply today!

National AI Awards 2025

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