Data Engineering Manager

Quilter

Southampton, United Kingdom
**
Define data engineering standards
Build scalable data platforms
Lead high-performing data engineering team
** Quilter is seeking a Data Engineering Manager to lead a high-performing data engineering team in Southampton or London. The role involves defining engineering standards, building scalable data platforms, and enhancing data-driven decision-making across the organization. **

Job Summary

  • This role accelerates Quilter’s data strategy by defining engineering standards, building scalable data platforms, and leading a high‑performing data engineering team.
  • The Data Engineering Manager plays a pivotal role in delivering business value through enabling actionable insights and transforming raw data into usable, reliable, high‑quality data products.
  • Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation, overseeing £141.2 billion in customer investments.

Matching Summary

Match Score: 75

** Quilter is seeking a Data Engineering Manager to lead a high-performing data engineering team in Southampton or London. The role involves defining engineering standards, building scalable data platforms, and enhancing data-driven decision-making across the organization. **

Skills & Requirements

Must-have

  • Define data engineering standards
  • Build scalable data platforms
  • Lead high-performing data engineering team
  • Transform raw data into usable data products
  • Azure Databricks and Fabric environments
  • Batch and stream pipelines in kappa architecture
  • Data quality frameworks and observability tooling
  • Python, SQL, and Spark knowledge

Nice-to-have

  • Foster collaborative and inclusive team culture
  • Strategic thinker with curious mindset
  • Ability to communicate complex concepts clearly
  • Promote operational stability and reliability
  • Advocate for high standards in data quality

Key Requirements

  • Degree in a technical discipline or equivalent practical experience
  • Proven experience managing and growing technical teams
  • Experience implementing data quality frameworks, SLAs, and observability tooling
  • Familiarity with data governance practices
  • Experience with data modelling (Kimball and Data Vault)

Work Rights

Not specified

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