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A leading company in the Insurance sector is seeking a skilled Lead Data Engineer to develop a new data platform utilizing Databricks and Azure technologies. This role involves close collaboration with technical and business stakeholders to enhance data quality and empower data-driven decisions. This is an exciting opportunity for someone looking to shape data strategy and contribute to innovative data solutions within a dynamic team.
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Lead Data Engineer | Location: London (Hybrid - 1-2 day a month in office) | Salary: £90,000-£110,000
The Opportunity
Are you passionate about building cutting-edge data platforms that drive business growth? Our client is seeking 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 (must-have: Azure Data Factory, Azure Synapse, or Azure SQL).
Dimensional modelling expertise for analytics use cases.
Python scripting experience for data automation.
Experience with CI/CD methodologies for data platforms.
Knowledge of MS SQL Server, SSIS, Visual Studio, and SSDT projects.
Previous London Market Insurance experience
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!
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