Data Engineering Manager

moonpig · London

Posted about 1 month ago

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Skills

Data EngineeringData PlatformData StrategyData ModelsData ArchitectureData QualityData GovernanceReportingAnalyticsData-driven Decision-makingPeople LeadershipTechnical Oversight

Benefits

Job description

Buyagift and Red Letter Days are the UK’s leading gift experience provider. We’re all about turning special moments into extra-special memories. With a gifting range of 4000+ experiences from spa days and skydives to gourmet treats and once-in-a-lifetime adventures, we make it easy to give the gift of wow. 🎁

As part of the Moonpig Group, we’re proud to share that our vision is to become the most trusted platform in the UK gift experience market. Our mission is to spread happiness through thoughtful, joy-filled experiences. People are at the heart of everything we do. Since joining the Moonpig Group in 2022, we’ve been powered by strong values, bold ideas and a shared passion for making a real difference. Here, you’ll have the chance to shape the kind of experiences people never forget – and help us build connections that truly matter.


Data Engineering Manager | 📍 London – Hybrid (2 days in office) | 💰 Competitive Salary + Benefits

About the Role
We’re looking for a Data Engineering Manager to lead our Data Engineering team at Buyagift & Red Letter Days, part of the Experience More group.

This role sits at the heart of how we use data to understand our business and serve our customers better. You’ll lead a team of data engineers responsible for building and maintaining a robust, scalable, and secure data platform that ensures the right data is available to the right people, at the right time.

You’ll combine people leadership with hands-on technical oversight, shaping our data strategy, data models, and data architecture, while improving data quality and governance. Working closely with stakeholders across the business, you’ll design and deliver well-structured, trusted data that underpins reporting, analytics, and confident, data-driven decision-making.

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