Although we believe the majority of our people will choose our hybrid working model (at least 2 days in the office each week), for some of our teams that don't require as much in-person connection and collaboration, we offer fully remote working (with paid travel to the Moonpig office up to 6 times per year).  Remote roles are specified directly on our job adverts

*We are currently following Government guidelines by fully working from home where possible. Our offices are, however, still open to those who require access (must present a negative lateral flow/antigen test upon arrival)*

Moonpig Group achieved ‘Unicorn’ status in one of the biggest tech IPOs of 2021, making the FTSE 250 index of leading companies listed on the London Stock Exchange with a market cap of £1.5 billion. We’re now growing the team to work towards an even more ambitious goal of reaching 25 million customers. 

To help get us there, we’ll be developing some cool tech innovations. Two projects we’ll bring to life this year include augmented reality/video cards and pre-personalisation; the latter aiming to provide a richer browsing experience for our customers via the automatic translation of customer data into personalised cards and gifts across multiple galleries.  

But the magic does not stop there. Our architecture is built for scale and flexibility which will allow us to quickly innovate and launch new propositions -- coupling that with the wealth of data we have on our customers, the sky's the limit in the world of experimenting with cutting edge ideas. 

Moonpig is a hidden gem in terms of our culture. Check out our 4.7 rating and reviews on Glassdoor for a view on how great it is to work here, and click here for more info about our tech culture and benefits!

We are currently looking for a Senior Engineering Manager to join our Data team and manage our Data Engineers as well as Engineering Managers of our Data Modelling and Data Implementation teams. 

The Data Platform team’s mission is to ensure that the right data is available to the right people so that we leverage data to best serve our customers and continue to be a truly data driven organisation.  This means we collaborate with other teams to capture their data requirements and find the best way to make that data available, on a secure, stable, single source of truth that is GDPR compliant. We enable other teams to leverage the data through reporting, analytics, ad-hoc queries and machine learning.

Our Data Engineers contribute to the mission by building scalable and resilient systems that automate data flows including an in-house event ingestion platform, and pipelines that support the productionising of machine learning models for batch and live inference.

The Data Modelling team is central to our understanding of data. It’s so much more than just writing SQL, it’s also about how you apply best practices to analytics code and how you strive to understand the business and work with our stakeholders.  

The Data Implementation team owns tracking best practices and implementation across our web and app estate. They are our subject matter experts on Google Analytics and other digital tracking technologies. They partner closely with a wide range of stakeholders from engineering, analytics and performance marketing.

Our Tech Environment:

• C# .NET, Python, AWS and Terraform
• Machine Learning Ops tooling (AWS Sagemaker or any other ML platform)
• Orchestration tooling (Airflow or any other orchestrator)
• Git VCS and GitLab CI
• Snowflake and DBT
• We don’t expect you to have experience with all of the technologies above so if you have experience in some, please apply!

Our Expectations of You:

• You have of experience managing Data Platform / Engineering teams
• You take ownership of code, the infrastructure it sits on, the CI/CD pipelines that test and deploy it, and the production systems that monitor it.
• Lead on our team’s technical direction and strategy with the team to ensure we are always building the right thing in the right way.
• You are able to collaborate with stakeholders across the organization including our finance, BI and product teams

What You'll Do:

• Lead a team of data engineers working on a data platform that enables fellow teams to leverage our data and technology to make the gifting experience effortless.
• Manage other line managers working in data modelling and data implementation 
• Collaborate with our data science team to refine and maintain a machine learning platform with a large focus on machine learning operations tooling.
• Grow the people in your team using your experience backed by individual objectives and our engineering growth framework.

Want to hear more? 

Take a look at our Moonpig Attraction Deck where you can hear more about our awesome perks and benefits as well as a culture to boot.