Hybrid Data Engineering Manager

at Moonpig

• Job title: Data Engineering Manager
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: ETL
• Location requirements: Hybrid, London, United Kingdom

About the role

• Data Engineering Manager leading the data engineering team at Buyagift & Red Letter Days. Overseeing data strategy, architecture, and team management in a hybrid role.

Responsibilities

• 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.