{"id":4248596,"url":"https://alion.io/job/moonpig-data-engineer","title":"Data Engineer","company":{"id":51474,"name":"Moonpig","domain":"moonpig.com","url":"https://alion.io/company/moonpig","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"GDPR","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-13T10:23:11Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T13:25:17Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Data Engineer |London - Hybrid, 2 days per week in the office | Competitive Salary + Benefits\nAbout the Role\nWe 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.\nYou 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.\nKey Responsibilities\nDesign, build and maintain data pipelines to ingest, transform and load data from a variety of sources into our data warehouse.\nOptimise, maintain and troubleshoot pipelines so consistent, high-quality data is up to date and available.\nDevelop and maintain data models that support business intelligence and analytics needs.\nEnsure the quality, performance and security of our data infrastructure.\nFollow best practices for security and infrastructure.\nCreate and maintain relevant documentation.\nCollaborate with other engineering teams to build and deploy data-driven products and features.\nAbout You\n5+ years of experience in data engineering.\nStrong experience with SQL and ETL/ELT tools such as Fivetran and dbt.\nExperience with data warehousing on Snowflake.\nConfidence interacting with databases and web APIs and processing data.\nGood understanding of relational databases and data modelling best practices.\nAwareness of data governance and security.\nExcellent problem-solving and analytical skills.\nStrong communication and collaboration skills.\nTechnical experience with Snowflake, Fivetran, dbt, Git source control, MS DevOps, GitHub Actions and Python.\nAzure experience is a plus.\nExperience with orchestration tooling such as Airflow is nice to have.\nExperience with infrastructure-as-code tools such as Terraform is nice to have.\nOur Tech Environment\nSnowflake, Fivetran, dbt, Git source control, MS DevOps, GitHub Actions and Python.\nData warehouses, data pipelines, databases, web APIs and cloud computing platforms.\nAzure, Airflow and Terraform are relevant additional technologies for this role.\nHow We Get There\nWe use applied engineering best practices to solve real-world problems and make a positive impact on the business.\nWe collaborate with teams across the organisation to understand data requirements and make data available through secure, stable and GDPR-compliant single sources of truth.\nWe enable reporting, analytics and ad-hoc queries while focusing on data quality, performance and security.\nInterview Process:\nStage 1: 30 min call with the Recruiter\nStage 2: 30 min call with the Hiring Manager\nStage 3 (Final stage): Take-home technical task (sent to you to work on in your own time)\nIf successful, a 1hour in person interview with the hiring manager and team member to go through the test and some stakeholder management/behavioural questions.\nOur process may vary depending on role and availability. 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