Lead Data Engineer
Role Overview
The Lead Data Engineer sits in the Chief Data Office and reports to the Data Engineering Manager.
The role provides technical leadership across data domains and helps deliver robust, scalable, secure data solutions.
The position supports data products and platforms that enable actionable insights across the organisation.
The description lists Southampton or London as role locations.
Key Skills for This Role
Full Job Posting
About Quilter
Quilter is a wealth management business serving customers through financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management.
The business includes Affluent and High Net Worth segments, with operations across the UK, Ireland, and Channel Islands.
Role overview
The Lead Data Engineer sits in the Chief Data Office and reports to the Data Engineering Manager.
The role provides technical leadership across data domains and helps deliver robust, scalable, secure data solutions.
The position supports data products and platforms that enable actionable insights across the organisation.
The description lists Southampton or London as role locations.
Technical leadership and delivery
- Own engineering leadership and subject matter expertise for one or more data domains.
- Define and champion engineering standards, patterns, and best practices.
- Lead design and implementation of scalable pipelines, data products, and platform capabilities.
- Review code, architecture, and engineering approaches; resolve complex technical and delivery issues.
- Lead initiative delivery, translate requirements into technical designs, and coordinate priorities with partner teams.
- Promote automation, testing, CI/CD, source control, observability, and infrastructure as code.
- Identify roadmap opportunities, risks, dependencies, and improvements.
Mentoring and collaboration
- Coach and mentor engineers through technical guidance, knowledge sharing, reviews, and pair programming.
- Promote an inclusive culture of quality, learning, and continuous improvement.
- Work with product, analytics, data science, platform, business, architecture, and governance colleagues.
Role expectations
- The role calls for deep technical expertise, strong problem-solving, and the ability to influence technical and non-technical stakeholders.
- The role requires technical leadership and collaboration across engineering and business teams.
Contract
The description states that the contract type is permanent.
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