BI Engineer - FULLY REMOTE in London

LondonG & A - Business Intelligence /Perm - Full-time /HybridMOO brings brands to life in a sustainable way, with a range of remarkable print and merchandise products. We combine design, technology, manufacturing and service, so that people can connect in memorable ways. Not online but out there, in real life.Since then we’ve built an award-winning and much-loved brand, with customer satisfaction and Trustpilot ratings that make most businesses want to give up and hire an army of review bots. We’ve got half a million customers, mostly small and medium businesses in North America, the UK, and Europe - businesses that, like us, get all excited about putting something real and beautiful into people’s hands. Backed by venture capital, we’re part of Tech Nation’s ‘Future Fifty’, recently passing $1bn in lifetime revenue, and featuring in the Guardian’s top 10 UK start-ups list. In the US, you’ll find us in Boston, MA, as well as East Providence, RI and Denver, CO and with our most recent office expansion in Cape Town South Africa.We're a team of data engineers and analytics engineers running the platform that brings together data from our e-commerce, manufacturing, fulfilment, and finance systems.We build on a modern, warehouse-native stack — Snowflake, dbt, and Dagster — and we're working towards a governed semantic layer so trusted metrics are defined once and consumed everywhere: dashboards, self-service tools, and AI assistants.Defining their metrics in the semantic layer with stakeholders, data modelling in dbt, and making sure a KPI resolves to the same trusted answer wherever it's consumed.The person we wantYou're an analytics engineer or data analyst with a rounded experience in data modelling and engineering practice.You have strong business acumen and instinct, enabling you to challenge metric definitions to ensure they reflect real business outcomesYou hold an honest, practical view about AI. You're enthusiastic about what governed, semantically-modelled data makes possible, but rigorous about validation and approach new capability with a healthy skepticism (but not cynicism).ResponsibilitiesPartner with stakeholders across operations, commercial, finance, and supply chain to design data models and unlock analytic capabilitiesDefine metrics, dimensions, and business logic in the semantic layer (dbt Semantic Layer / Snowflake semantic views)Deliver reporting through our BI tooling (currently Tableau) with a tool-agnostic mindset, and reduce duplicated or conflicting outputs.Curate and validate governed datasets and semantic models for AI/natural-language consumption, acting as the accuracy bar for AI-generated analysis.Champion healthy self-service and data literacy heading in the directon of fewer, better, trusted outputsReview others' work constructively and contribute to the team's modelling standards.Demo new features and train business stakeholders when requiredAbout youStrong SQL and production dbt experienceProduction experience on a cloud warehouse with Git-based, review-first workflowsA track record of defining metrics with stakeholders and delivering outcomes people rely onCan demonstrate sound judgement about where logic should live - e.g. in semantic layer or BI layerDemonstrable interest in how data analytics is changing alongside AI, and developing own skillsetNice to have'sSemantic layer tooling in productionNatural-language/AI analytics tools (e.g. Cortex Analyst or similar) or preparing data for LLM consumption.Experience rationalising dashboard estates or migrating BI logic downstreamE-commerce, manufacturing, or subscription business domainsWhat’s it like to work at MOO? Dye your hair purple. Whatever helps you feel comfortable and happy at work. We want to help you grow in your career and set you up for success - while also recognising the importance of a healthy work/life balance.That’s why we offer 25 days holiday rising by one day for each year here (for 5 years), a matched pension scheme, and paid parental leave. We’ll offer you private healthcare, life insurance, a season ticket loan, and a cycle to work scheme. We also offer flexible work schedules with hybrid and remote working for certain roles as well as a Work From Anywhere program.Diversity StatementWe are working hard to create a representative, inclusive and super-friendly team, because we know that different experiences, perspectives and backgrounds make for a better workplace. MOO doesn’t discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class.As a design and technology company we have a desire and a responsibility to build a business that represents the world around us. And we are committed to continuous investment in building an open and inclusive environment, welcoming a diverse audience of candidates who see themselves working and thriving at MOO. Therefore, we’d like to invite you to complete this optional survey to help us evaluate our inclusion and diversity efforts. We keep the information separate from your application and it is kept secure and confidential, it is only used to better our inclusion and diversity efforts. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. If you would like more information about how your data is processed, please contact us.