Data Engineer
Огляд ролі від JobGrid
Data Engineer at moonpig in London, United Kingdom, on-site, is a mid-level IT role. JobGrid presents the role as a normalized comparable classification, keeps the original-language source boundary intact, and routes candidates to the employer’s public application page. The source was posted and last checked on 2026-06-02, and no salary is listed in the payload.
- Role normalized as: Data Engineer, mid seniority, IT category, London, United Kingdom, on-site.
- Source freshness is explicit: posted on 2026-06-02 and last checked on 2026-06-02.
- No salary is included in the payload, so JobGrid does not add a salary claim.
- Candidates apply through JobGrid’s handoff to the original public application page with non-personal referral parameters.
Data Engineer |📍London – Hybrid (2 Days Per Week) | 💰Competitive Salary + Benefits
About the Role
We're looking for an experienced Data Engineer to join our Product, Data & Technology team at Buyagift and Red Letter Days.
As a Data Engineer, you'll play a key role in ensuring the right data is available to the right people across the business. Working closely with teams across the organisation, you'll help build and maintain secure, reliable, and scalable data solutions that support reporting, analytics, and data-driven decision-making.
You'll have the opportunity to work on a variety of exciting projects, including the continued evolution of our data platform, building new data ingestion pipelines, and developing solutions that help us better understand and serve our customers.
This role is ideal for someone who enjoys solving complex data challenges, collaborating with others, and continuously improving the way data is managed and utilised across the business.
Key Responsibilities
- • Design, build, and maintain data pipelines that ingest, transform, and load data from a variety of sources into our data warehouse.
- • Optimise, maintain, and troubleshoot data pipelines to ensure high-quality, reliable, and up-to-date data availability.
- • Develop and maintain data models that support business intelligence, reporting, and analytics requirements.
- • Ensure the quality, performance, security, and reliability of the data platform and supporting infrastructure.
- • Follow engineering best practices relating to security, governance, and infrastructure management.
- • Create and maintain clear technical documentation for data solutions and processes.
- • Collaborate with engineering and cross-functional teams to develop and deploy data-driven products and features.
About You
- • Proven experience in Data Engineering with a strong track record of building and maintaining production data pipelines.
- • Strong SQL expertise and hands-on experience with ETL/ELT tooling such as FiveTran and DBT.
- • Experience working with data warehousing technologies including SQL Server and Snowflake.
- • Ability to work with databases, web APIs, and a variety of structured and unstructured data sources.
- • Strong understanding of relational database design, data modelling principles, and best practices.
- • Knowledge of data governance, security, and compliance considerations.
- • Excellent problem-solving skills with a proactive and analytical approach.
- • Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams.
Our Tech Environment
- • C# .NET
- • Python
- • Azure
- • Terraform
- • Airflow and orchestration tooling
- • Git and GitLab CI
- • SQL Server
- • SSIS
- • Microsoft DevOps
- • Snowflake
- • FiveTran
- • DBT
How We Get There
- At Buyagift and Red Letter Days, we believe the best solutions come from collaborative teams that are curious, supportive, and always looking for ways to improve.
- You'll be encouraged to share ideas, challenge assumptions, and help shape the future of our data platform while working alongside talented colleagues who are passionate about delivering great customer experiences through data.
Interview Process
• 20–30 minute introductory call with our Talent Acquisition team.
• 45–60 minute first-stage interview with a Senior Engineer and Data Engineer.
• 30–45 minute final-stage interview with the Hiring Manager and one additional team member.
• Offer! 🎉
Our process may vary depending on role and availability. We keep candidates informed of any changes.