Hybrid Data Engineering Manager

Posted last month

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About the role

  • Lead a team of data engineers and analytics engineers working on a modern GCP-based analytical Data & AI Platform
  • Build a healthy, high-performing team and support career development through coaching, feedback, and mentoring
  • Drive system and platform design decisions and contribute to Data and AI technical direction
  • Collaborate with Data Science, AI, Data Analytics teams and Product Development squads across the business
  • Ensure long-term health, maintainability, testing, observability, performance, and resilience of owned systems in production
  • Partner with Product Managers to align priorities, capacity, and scope and create clear goals and realistic plans
  • Monitor delivery flow, remove blockers, manage risks and improve team processes, quality, and velocity
  • Lead hiring, onboarding, and growing diverse engineering talent; shape team structure and capabilities
  • Represent the team in cross-functional planning and translate between technical and business contexts
  • Report to the Head of Data Engineering and act as an engineering advocate and strategic partner to Product Managers

Requirements

  • Technical background as a Data Engineer, ideally with experience working with a modern data platform
  • Experience working with a cloud provider (GCP desirable)
  • Experience in designing modern data systems
  • Prior experience managing data and/or analytics engineers
  • Strong track record of supporting delivery and improving team ways of working
  • Confidence in navigating planning, estimation, scope, and stakeholder alignment
  • Collaborative mindset and ability to build trust across a wide range of people and roles
  • Calm, thoughtful, and pragmatic approach when stakes are high or ambiguity is present
  • Genuine interest in growing others, including coaching, feedback, and performance development
  • Willingness/ability to attend the London office twice a week (Wednesday & Thursday)

Benefits

  • Cash plan for dental, optical and physio treatments
  • Private Medical Insurance
  • Pension and Life Insurance
  • Employee Assistance Plan
  • 27 days holiday plus two (paid) volunteering days a year
  • Holiday buy schemes
  • Hybrid working pattern with 2 days in office
  • Contributory stakeholder pension
  • Life assurance at 4x your basic salary
  • Competitive compensation package
  • Paid leave for maternity, paternity, adoption & fertility
  • Travel Loans
  • Bike to Work scheme
  • Rental Deposit Loan
  • Charitable contributions through Payroll Giving and donation matching
  • Access deals and discounts on travel, electronics, fashion, gym memberships, cinema discounts and more
  • Ongoing training opportunities
  • Support for charity fundraising events

Job title

Data Engineering Manager

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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