Analytics Engineer

We're the Moonpig Group - home to Moonpig, Greetz, Red Letter Days and Buyagift - and we're on a mission to make people feel loved, celebrated and remembered. Whether it's a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles.

We're proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter - packed with personal touches and delivered with care.

We're not just about selling cards or gifts - we're here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we've built a place where people (and ideas) can truly thrive.

If you're looking to make an impact, bring your spark and be part of something meaningful - we'd love to have you on the team. 🌙🐷

London - Hybrid | Competitive Salary + Benefits

About the role

At Moonpig, we're all about making moments that matter - and data is at the heart of how we do that. As an Analytics Engineer , you'll play a key role in turning raw data into reliable, well-modelled datasets that power insights, experimentation, and smart decision-making. Sitting in our Data Platform Team, you'll be bridging the gap between data engineering and analytics, partnering with teams across Product, Marketing, and Engineering to make sure the right data is accessible, accurate, and actionable.

You'll shape how we build and maintain transformation pipelines, support self-serve analytics, and help scale our data infrastructure so we can keep delivering meaningful customer experiences at pace.

Key Responsibilities:

• Build scalable and reusable data models using dbt and Snowflake
• Own and optimise transformation pipelines, ensuring performance and cost-efficiency
• Develop data quality checks and monitoring using tools like Metaplane
• Collaborate with BI, Data Science, and Engineering teams to define requirements and deliver impactful datasets
• Document data models and promote best practices in analytics engineering
• Explore and integrate new tools (like Dagster ) to improve scalability and workflow orchestration

About You:

• Strong SQL skills - you know how to write complex, clean queries
• Solid experience with dbt for building robust transformation pipelines
• Comfortable working in Snowflake , or similar cloud data platforms
• Some knowledge of Python for data tasks and automation
• Enjoy working in an agile, collaborative environment
• Technically curious - always keen to learn new tools and improve systems

Nice to have:

• Experience with Metaplane , Fivetran , Dagster , Tableau
• Familiarity with version control tools like Git

Our Tech Environment:

• Data Stack: dbt, SQL, Snowflake, Python, Fivetran, Dagster, Metaplane, Tableau
• Infrastructure: AWS (SageMaker, EC2, Lambda, Glue, S3), Terraform, API Gateway
• Collaboration: GitHub, Jira, Confluence
• Analytics: GA4, GTM, GCP BigQuery

How we get there:

• We work in cross-functional teams to solve real customer problems
• We prioritise experimentation and learning fast
• We invest in modern data tools and continuous delivery
• We're always looking to improve, challenge assumptions, and grow together

Interview Process:

• Stage 1: Recruiter screening call (20-30 mins)
• Stage 2: Interview with Hiring Manager and 1 other team member (45-60 mins)
• Stage 3: Final interview - split into two parts:

60 mins live test
30 mins culture/team fit session

• Offer!
Please note: Our interview process may vary depending on the specific role, hiring team availability, or other business needs. We aim to keep candidates informed of any changes throughout the process.

> What's in it for you?

We believe in empowering our team to do their best work. Enjoy:

Competitive Pay & Bonuses: Plus, generous pension plans & staff discounts.

Wellbeing First: Private healthcare (UK), mental health support & dog-friendly offices (London & NL).

Flexible Working & Time Off: Generous holidays, hybrid working (1-3 days in office, depending on role/team) & up to 20 days of international working.

Career Growth: Learning allowances, coaching & development programs.

Want to know more?

Explore our full benefits package: here

Check out our podcast, tech blog and product blog to hear more about how we work and what we're building!

Our Ways of Working:

We trust you to do what's right, providing flexibility to balance work and life. We believe in giving you permission to innovate and focus on delivering meaningful results. We understand that effective ways of working are unique to each individual, role, and team, and we're committed to supporting and discussing your specific needs throughout the interview process and beyond.

Moonpig Group's Commitment to Equality, Diversity, and Inclusivity:

At Moonpig Group, we're all about creating a workplace where everyone feels they truly belong. We celebrate what makes each of us unique, whether that's our background, how we work best, or what matters most to us.

From working parents who need flexible hours to neurodiverse colleagues with specific working styles, we're here to support our people in ways that work for them. Because when you feel valued and included, you can thrive, and so can we.

We're proud to have a number of employee-led groups driving this forward, including our LGBTQ+, Gender Balance, Neurodiversity and EMBRACE (Educating Myself for Better Racial Awareness and Cultural Enrichment) communities, plus our Group-wide EDI committee. These teams help make sure every voice is heard and every idea has a place.

We know that diversity fuels creativity, innovation and connection, and that's why we'll keep pushing for progress. Together, we're building a culture where everyone feels safe, supported, and free to be their brilliant, authentic selves.

If you have a preferred name, please use it to apply and share your pronouns if you are comfortable to do so - If you have any reasonable adjustment requests throughout the interview process please let us know on your application or speak to the Recruiter.