Data Engineer

Moonpig is hiring a Data Engineer in London, United Kingdom. Level rates it ; you can apply on Moonpig.

Level's read on this job

On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
Some of the work can be done remotely, according to the posting.
The posting mentions SQL, Fivetran and dbt among its tools and skills.
Moonpig has 19 other open roles on Level.
Posted within the past week.

AI in this role

Data Engineer responsible for designing, building, and maintaining data pipelines, warehouses, and analytics infrastructure.

SQLFivetrandbtSnowflake

etleltdata-warehousingdata-pipelinesapi

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 Engineer |📍London – Hybrid, 2 days per week in the office | 💰Competitive Salary + Benefits

About the Role

We are looking for a talented and experienced Data Engineer to join the Data Engineering Team at Buyagift and Red Letter Days. Our team makes sure the right data is available to the right people, enabling a truly data-driven organisation and helping us serve our customers well.

You will design, build and maintain the data pipelines and data warehouses that power the business. You will work on projects including developing and migrating to a new data analytics platform, creating new data ingestion pipelines, and building data-driven solutions to business problems. You will also help ensure the quality, performance and security of our data infrastructure.

Key Responsibilities

Design, build and maintain data pipelines to ingest, transform and load data from a variety of sources into our data warehouse.
Optimise, maintain and troubleshoot pipelines so consistent, high-quality data is up to date and available.
Develop and maintain data models that support business intelligence and analytics needs.
Ensure the quality, performance and security of our data infrastructure.
Follow best practices for security and infrastructure.
Create and maintain relevant documentation.
Collaborate with other engineering teams to build and deploy data-driven products and features.

About You

5+ years of experience in data engineering.
Strong experience with SQL and ETL/ELT tools such as Fivetran and dbt.
Experience with data warehousing on Snowflake.
Confidence interacting with databases and web APIs and processing data.
Good understanding of relational databases and data modelling best practices.
Awareness of data governance and security.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Technical experience with Snowflake, Fivetran, dbt, Git source control, MS DevOps, GitHub Actions and Python.
Azure experience is a plus.
Experience with orchestration tooling such as Airflow is nice to have.
Experience with infrastructure-as-code tools such as Terraform is nice to have.

Our Tech Environment

Snowflake, Fivetran, dbt, Git source control, MS DevOps, GitHub Actions and Python.
Data warehouses, data pipelines, databases, web APIs and cloud computing platforms.
Azure, Airflow and Terraform are relevant additional technologies for this role.

How We Get There

We use applied engineering best practices to solve real-world problems and make a positive impact on the business.
We collaborate with teams across the organisation to understand data requirements and make data available through secure, stable and GDPR-compliant single sources of truth.
We enable reporting, analytics and ad-hoc queries while focusing on data quality, performance and security.

Interview Process:

Stage 1:

Stage 2

Stage 3 (Final stage):

in person

Our process may vary depending on role and availability. We keep candidates informed of any changes.

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, and share schemes. 💆🏾‍♀️ Wellbeing First: Private healthcare (UK), dental, life insurance and mental health support 🏖️ Flexible Working & Time Off: Generous holidays, hybrid working (unless specified otherwise, 2 days a week in the office), and opportunities for international working. 📈 Career Growth: Learning allowances, coaching, and development programs. 🤝 Recognition & Giving Back: Regular awards, charity support, length of service awards, and volunteering days. Want to see more? Check out our Linked In pages below: Buyagift Red Letter Days Moonpig Group Our Ways of Working: We trust our colleagues to do what’s right and offer flexibility to support a balance between work and life. At the same time, face-to-face office time is an important and expected part of working at Moonpig Group. We believe regular in-person working supports collaboration, alignment, and effective decision-making. Candidates will have regular and ongoing time working from the office as part of their role, which will be discussed during the recruitment process. 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.

How we rate this

Data Engineer at Moonpig rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Engineer is an open job at Moonpig.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in London and is marked remote.
The job was posted on November 13, 2026.
Seniority: mid.
Applications are handled by Moonpig. Apply on Moonpig

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ETLEltData WarehousingData PipelinesAPISQLFivetrandbt

Also common in data engineer jobs at this level

Spark AWS Databricks Google Cloud Java Scala

Pay

Typical data engineer job: $150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where elt was part of your work. What did you do?
Tell me about a project where data warehousing was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?
Tell me about a project where api was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ETL, Elt, Data Warehousing, Data Pipelines, and API. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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