About MarshmallowWe exist to make migration easy.A systemic problem of this magnitude requires a team of curious thinkers who relentlessly pursue solutions. Those who constantly challenge the why, dismantle assumptions, and always take action to build a better way.A Marshmallow career is built on a cycle of continuous growth, with learning at its core. You will be challenged to raise the bar on your capabilities and supported with the right tools and guidance to do so. This ensures you can deliver impactful work and drive change.If life at Marshmallow sounds like it could be for you, explore our Culture Handbook to find out more.Move our mission, and your career, forward.Analytics Engineering at MarshmallowData holds the secret code that unlocks the path ahead in our mission. That's why data teams at Marshmallow are crucial in helping us to create technological solutions that make migration easy for hundreds of millions of global relocators every year.Insightful. Strategic. Rigorous. A true team-player. Always ready to improve. We look for talent who'll use their technical brilliance to build credibility across the business and make real commercial and world impact with every choice.That's why we provide a supportive environment full of trust and autonomy. So you can take ownership of high-leverage work, in a top functioning team that's always moving forward.What You'll Be DoingBuild for a Multi-Product WorldData Modelling at Scale: Design and maintain scalable, reliable data models that support multiple products and customer journeys, ensuring consistency across insurance, payments, retention, claims, fraud, and upcoming new products like car finance.Cross-Domain Collaboration: Partner with product, operations, fraud, claims, retention, and growth teams to design datasets that drive real-time decisions, personalisation, and pricing optimisation for each product line.Lead, Mentor, and Set StandardsChampion Modern Best Practices: Act as the subject matter expert for DBT, Snowflake, and Looker, setting the gold standard for how multi-product data models are built, tested, and optimised.Coach Across the Business: Enable analysts, scientists, and engineers to self-serve effectively by building curated data layers and reusable tools.Enable Fast, Autonomous GrowthOptimise for Speed and Cost: Tune our data platform to deliver faster queries, lower cloud costs, and seamless onboarding of new products - key to enabling rapid product experimentation and scale.Data as a Product: Treat our data models as products themselves - reliable, observable, and optimised for customer impact across insurance, payments, loyalty, and future offerings.Solve Hard ProblemsOwn the Full Stack: Gain deep expertise in the full data platform (AWS, Snowflake, DBT, Looker, orchestration frameworks) to deliver safe, reliable solutions at pace.Automation & Efficiency: Build with a bias towards automation and reusability, essential for scaling multiple product lines without a linear increase in complexity or cost.Who You AreTechnical Expertise: Deep experience with production-grade ETLs, data warehousing, and robust data modelling. You are highly proficient in SQL and deeply understand Snowflake architecture.Tooling Mastery: Hands-on experience with DBT, Looker (or similar BI tools), and orchestration frameworks like Airflow or AWS Step Functions.Mindset: You're proactive, customer-obsessed, and see data as a product. You think scalability, self-service, and platform-first.Collaborative Leader: You enjoy partnering with analysts, engineers, and product teams to deliver value quickly and iteratively.Bonus Points: Experience with Python, Java, or cloud infrastructure (AWS); background in insurance, fintech, or regulated industries; excitement about building a multi-product ecosystem.Perks of the jobFlexible working: Spend a couple of days a week with your team in our new collaborative London office, and own your own working hours. The rest is up to you. If this arrangement doesn't work, don't let it hold you back. We're always open to making reasonable adjustments if this is a barrier to you in any way. Let us know and we'll talk about our options.Competitive bonus scheme - designed to reward and recognise high performanceFlexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Whether that's subscriptions, night classes, the big shop or a forest of houseplants. Pretty much anything goesMental wellbeing support - Access therapy and mental health sessions through OlivaLearning and development - Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillsetPrivate health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatchesMedical cash plan - To help you with the costs of dental, optical and physio (plus more!)Tech scheme - Get the latest tech for lessPlus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month!Our processWe break it up into 4 stages:Initial call with a member from our Talent Team (30 mins)Technical Interview with a couple of the team (60 mins)Past Experience interview with our Head of Data Engineering (60 mins)A culture interview to check that your work style fits our processes and values, and vice versa (60 mins)Everyone belongs at MarshmallowAt Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias.We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications.We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong.Recruitment privacy policyWe take privacy seriously here at Marshmallow. Our Recruitment privacy notice explains how we process and handle your personal data. To find out more please view it here. #J-18808-Ljbffr