Job Title

Analytics Engineer Increase your chances of reaching the interview stage by reading the complete job description and applying promptly.Remote - UK-based50,000 - 60,000 The Company This innovative, subscription-based platform brings together a global community of individuals with complementary needs: those seeking flexible travel opportunities and those requiring reliable care for their home and animals. The model is built around trust and mutual benefit, offering a unique alternative to traditional services by focusing on shared value rather than direct transactions.The company is at an exciting stage of data transformation. Over the past six months, theyve built the foundations of a modern data platform, including hiring a data manager to oversee governance and integrations, a data engineer, and most recently, a data scientist. With dbt introduced as part of a broader tech overhaul, the team is now looking for a dedicated Analytics Engineer to take ownership of the dbt layer and play a key role in shaping analytics best practices across the business.The OpportunityAs the team scales, there's a clear need for someone to focus solely on the analytics engineering function. Currently, analytics work is shared across the team, but performance bottlenecks, a lack of consistency, and the opportunity to implement best practice modelling highlight the need for a specialist. This role will be instrumental in building a reliable and scalable production environment on top of a growing set of raw data sources.Tech Stack and EnvironmentData Warehouse: RedshiftModelling: dbt (recently onboarded, still early-stage)ETL & Integration: Fivetran, with plans to scaleArchitecture: MedallionDashboarding & Visualisation: Mode Analytics (SQL-based)Ideal Background:Strong SQL skills with hands-on experience in dbt and modern cloud data warehouses (e.g. Redshift, Snowflake, BigQuery)Familiarity with ELT tools (e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and Git-based workflowsSolid understanding of data modelling, warehousing principles, and analytics best practicesExperience working cross-functionally with strong communication skillsNice to have: Python, AWS/GCP/Azure, Medallion Architecture, Databricks, and knowledge of data governance or experience in high-growth environmentsThis is a fantastic opportunity to join a purpose-led business in a high-impact role, helping to shape the data strategy of a company making travel more accessible and pet care more personal.