Moonpig

Data Engineering Manager

Moonpig

full-time

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

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Tech Stack

ETL

About the role

  • Lead and manage a team of data engineers working on our core data platform.
  • Set technical direction and strategy across data infrastructure, data architecture, and data modelling, ensuring we build the right solutions in the right way.
  • Own and evolve our data models and data architecture, ensuring they are scalable, well-governed, and aligned with business needs.
  • Build and maintain scalable, resilient data pipelines and systems, including an in-house event ingestion platform.
  • Define best practices for analytics engineering, data modelling, and schema design to support reliable reporting and downstream use cases.
  • Take ownership of data code, underlying infrastructure, CI/CD pipelines, and production monitoring.
  • Collaborate closely with data insights and analytics teams to develop and refine ML-driven analytics pipelines.
  • Work with stakeholders across the business to understand data requirements and translate them into reliable, accessible data solutions.
  • Ensure data quality, governance, security, and GDPR compliance across the data platform.
  • Support and grow engineers through mentoring, clear objectives, and our engineering growth framework.

Requirements

  • You have experience mentoring and developing engineers, and working closely with non-technical stakeholders.
  • You’re either an experienced manager or ready to take the next step into a people leadership role.
  • You enjoy taking ownership end-to-end, from data models and architecture through to pipelines, infrastructure, and production support.
  • You’re passionate about data and apply best practices to analytics engineering, data modelling, and platform design.
  • You have experience building and maintaining modern data platforms, ideally using Snowflake.
  • You’ve worked with modern ETL tooling and understand how to build reliable, automated data flows.
  • You’re curious about the business context behind the data and enjoy collaborating to solve real problems.
Benefits
  • 💸 Competitive Pay & Bonuses: Plus generous pension plans, staff discounts, and share schemes.
  • 💆🏾‍♀️ Wellbeing First: Private healthcare (UK), dental, life insurance, mental health support, and dog-friendly offices.
  • 🏖️ Flexible Working & Time Off: Generous holidays, hybrid working (unless specified otherwise, 2 days a week in the office), and opportunities for international working.
  • 📈 Career Growth: Learning allowances, coaching, and development programs.
  • 🤝 Recognition & Giving Back: Regular awards, charity support, length of service awards, and volunteering days.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringdata architecturedata modellinganalytics engineeringschema designdata pipelinesCI/CDdata qualitydata governanceGDPR compliance
Soft skills
mentoringleadershipcollaborationstakeholder managementownershipproblem-solvingcommunicationstrategic thinkingcuriositypassion for data