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 Python
- Azure and Terraform
- Orchestration tooling (such as Airflow)
- Snowflake
- DBT
- Fivetran
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.
Top Skills
What We Do
At Moonpig Group our mission is to help people connect and create moments that matter. We’re an international group made up of two brilliant brands – Moonpig in the UK, US and Australia, and Greetz in the Netherlands. We’re a technology platform at heart, but our customers know us as the leading eCommerce destination for greetings cards, gifts and flowers. Last year we delivered over 70 million personalised cards, gifts and flower bouquets in over 50 million orders, helping our customers celebrate all the occasions that matter to them, from milestone birthdays and anniversaries to new arrivals and all of those just-becauses. We have awesome people and a caring company culture: We give teams autonomy while supporting personal growth at all levels. Plus, we know how to have fun! Don’t just take our word for it, though; in Feb 2022, Moonpig was officially recognised as an outstanding company to work for by Best Companies and we earned a 2-Star accreditation, which is Best Companies second-highest standard of workplace engagement and represents organizations striving for the top. Head over to our careers site for more company info and our current opportunities - https://www.moonpig.com/uk/blog/moonpig-careers/moonpig-careers/







