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.
Key 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.
About You:
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.
Our Tech Environment
C# .NET and PythonAzure and TerraformOrchestration tooling (such as Airflow)SnowflakeDBTFivetran
How We Get There:
We focus on building simple, scalable solutions with clear data models and thoughtful architecture.We collaborate openly across engineering, data, and product teams.We encourage ownership, continuous learning, and thoughtful experimentation.We balance technical excellence with real business impact.
