Analytics Engineer creating scalable data models to support multiple products at Marshmallow. Collaborating across teams to enhance data-driven decision-making and optimize product offerings.
Responsibilities
Build for a Multi-Product World
Data 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.
Collaboratively Set Standards
Champion 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 Growth
Optimise 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 Problems
Own 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.
Requirements
Technical Expertise: Experience with production-grade ETLs, data warehousing, and robust data modelling. You are also proficient in SQL.
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.
Benefits
Flexible working: Spend a couple of days a week with your team in our 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 performance 🌟
Flexible 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 (puppy yoga, anyone?), the big shop or a forest of houseplants. Pretty much anything goes 💰
Mental wellbeing support – Access therapy and mental health sessions through Oliva 💚
Learning 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 skillset 🤓
Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches 🏥
Medical cash plan - To help you with the costs of dental, optical and physio (plus more!)
Tech scheme - Get the latest tech for less 🖥
Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month!
Prototyping analytical tools developed by the engineering and analytics teams for Clir Renewables. Collaborating on automation scripts and methods for renewable energy analysts.
Analytics Engineer Sr developing data pipelines and analytics solutions for Brazil's retail industry. Collaborating with marketing and product teams to optimize data usage and performance.
Senior SAP Data Solutions Engineer designing and implementing data solutions in SAP environments. Contributing to SAP migrations and collaborating with cross - functional teams for project success.
Analytics Engineer creating data products that meet various business needs for the fintech company Stone. Responsible for data pipelines, monitoring, and ensuring data quality.
Design and optimize scalable data pipelines and models for terabyte - scale datasets. Collaborate with stakeholders to ensure data quality, governance, and actionable analytics.
Senior Analytics Engineer developing high - volume applications for data analytics at dLocal. Collaborating with a global team in the fintech industry to enhance payment collection solutions.
Network Analytics Engineer at TIM managing network performance indicators and ensuring data reliability for decision making and customer experience improvement.
Analytics Engineer crafting advanced data models using BigQuery and Snowflake for Dasa. Collaborating in a dynamic environment to innovate healthcare solutions for millions.
Senior Data & Financial Analytics Engineer at Pliant turning complex financial data into scalable insights. Collaborating with Finance and leadership to ensure reliable financial metrics.
Analytics Engineer analyzing and visualizing data for orthodontic treatments at DentalMonitoring. Collaborating closely with teams to provide insights and support data - driven decisions.