Lead Analytics Engineer
New Today
We build financial products that accelerate the economic freedom for people who move across borders. We started with car insurance - insuring over a million drivers - and we're scaling beyond. Tens of millions of people move countries each year, facing overlooked financial challenges. Our future is in building financial products around their needs to positively impact their lives.
How we work
We're really proud of the culture we've created. We push for progress every day, because we know that we'll only hit big milestones by taking lots of smaller steps. We're always open to helping our team mates, sharing our ideas, experience and knowledge to solve problems together. We take risks, think creatively and experiment relentlessly to meet our customer's needs, and never pass blame when things go wrong. We encourage people at all levels to take ownership of their work, and to be bold in challenging how we do things. Everyone has a voice and the opportunity to make an impact.
And autonomy and ownership are only possible with clear direction. That's why we collaborate to do in-depth planning twice a year, and make sure we leave with clear goals and objectives that flow from top to bottom. To make sure we're as aligned as possible across functions, most of our work rolls up into three tribes; Acquisition, Retention & Claims. Each tribe has multiple teams embedded in it, working cross-functionally to do great work.
We're so excited for all of the challenges up ahead, and we need more people to help us tackle them! If life at Marshmallow sounds like it could be for you, explore our Culture Handbook to find out more.
Analytics Engineering at Marshmallow
At Marshmallow, we back those who step outside the norm. Our mission is to become the go-to insurer for people who move to the UK, and we're building a platform that enables the launch of multiple distinctive products beyond car insurance - from multi-car plans to future offerings like car finance.
Data is at the heart of this transformation. In one of the world's most advanced insurance markets, our Data Engineering team is critical to scaling faster, smarter, and more innovatively than legacy competitors. We collaborate across the company, championing a data-driven, multi-product culture, empowering every team to move faster through self-service, automation, and real-time insights.
As a Lead Analytics Engineer, you will shape the foundations that drive multiple products, influencing everything from pricing and fraud detection to retention and loyalty.
At Marshmallow, data is a first-class product, and you will be one of its architects.
What You'll Be Doing
Build the Next-Generation Data Foundation
- Multi-Product Data Modelling: Design and own scalable, modular, high-performing data models that enable cross-product analytics and seamless growth into new product lines.
- Strategic Data Architecture: Set and enforce standards for how we structure, govern, and deliver data across insurance, payments, loyalty, car finance, and more - ensuring agility without sacrificing quality.
- Cross-Functional Leadership: Partner with Product, Engineering, Operations, Fraud, Claims, Retention, and Growth teams to align our data capabilities to business priorities and unlock faster innovation cycles.
- Data Platform Champion: Own the evolution of our Data Platform (Snowflake, DBT, Looker) - from optimising query performance and cost, to leading the rollout of self-service capabilities and observability tools.
- Mentor and Uplift: Lead a growing community of data engineers, analytics engineers, and analysts, setting technical best practices, coaching on modelling excellence, and embedding a strong culture of quality, governance, and autonomy.
- Data Product Thinking: Treat curated datasets, transformation pipelines, and governance frameworks as products, ensuring scalability, maintainability, and high business value.
- Tackle Complexity at Scale: Build solutions that can handle growing data volumes and a rapidly expanding product suite, while staying ahead of industry trends in analytics engineering.
- Innovation Focus: Drive initiatives around automation, advanced metadata management, real-time pipelines, and unlocking ML-ready datasets to accelerate Marshmallow's ambition to be a top-decile data-driven business.
- Deep Technical Expertise: Strong track record in data modelling, production ETLs, and building enterprise-grade data platforms. Advanced SQL proficiency with hands-on experience across Snowflake, DBT, Looker.
- Architect Mindset: You design systems that are modular, documented, and scalable. You understand trade-offs between speed, quality, and operational simplicity.
- Collaborative Leader: Experienced at leading cross-functional projects, setting data standards, and coaching others to elevate technical maturity across analytics and engineering teams.
- Builder at Heart: Comfortable rolling up your sleeves to code, model, and optimise - not just direct others.
- Bonus Points: Experience with orchestration frameworks (Airflow, Dagster, Prefect), Python, AWS ecosystem, and exposure to insurance, fintech, or regulated industries.
- Strategic Thinker: You thrive on aligning technical roadmaps with business goals, and you naturally think about building for a multi-product, scalable future.
At 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 policy
We 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
- Location:
- London
- Job Type:
- FullTime
- Category:
- IT & Technology
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