Senior Analytics Engineer | London, UK

Marshmallow; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative firm is seeking a Data Engineer to help revolutionize the insurance industry. In this role, you'll design and maintain scalable data models that support various customer journeys, ensuring consistency across multiple products. You'll collaborate with cross-functional teams to drive real-time decisions and optimize pricing strategies. This position offers a unique opportunity to work with cutting-edge tools like DBT and Snowflake in a data-driven culture that values autonomy and ownership. If you're passionate about data and eager to make a significant impact, this role is for you.

Qualifications

• Deep experience with production-grade ETLs and data warehousing.
• Proficient in SQL and Snowflake architecture.

Responsibilities

• Design and maintain scalable data models for multiple products.
• Partner with teams to drive real-time decisions and optimizations.

Skills

SQL

Data Modelling

ETL Processes

Data Warehousing

Collaboration

Customer Focus

Education

Bachelor's Degree in Computer Science or related field

Tools

DBT

Snowflake

Looker

AWS

Airflow

Job description

About Marshmallow

We build financial products that accelerate economic freedom for people who move across borders. Starting with car insurance—covering over a million drivers—we aim to expand our offerings. Millions of people move countries annually, facing overlooked financial challenges. Our goal is to develop financial products tailored to their needs to positively impact their lives.

How we work

We are proud of our culture, which emphasizes progress through small steps. We foster a collaborative environment where sharing ideas, helping teammates, taking risks, and experimenting are encouraged. We value ownership, boldness, and every voice making an impact. Our planning processes ensure clear goals and alignment across teams, organized into four tribes: Acquisition, Retention, Claims and Pricing, Underwriting & Fraud.

We are excited about upcoming challenges and are looking for more talented individuals to join us. To learn more about our culture, explore our handbook or read our blog.

Analytics Engineering at Marshmallow

Our mission is to become the go-to insurer for people moving to the UK, building a platform for multiple products beyond car insurance, such as multi-car plans and car finance. Data is central to this transformation. Our Data Engineering team enables faster, smarter, and more innovative scaling, fostering a data-driven, multi-product culture through self-service, automation, and real-time insights.

What You'll Be Doing

Build for a Multi-Product World

• Data Modelling at Scale: Design and maintain scalable, reliable data models supporting various products and customer journeys, ensuring consistency across insurance, payments, retention, claims, fraud, and future offerings like car finance.
• Cross-Domain Collaboration: Work with product, operations, fraud, claims, retention, and growth teams to create datasets that enable real-time decisions, personalization, and pricing optimization.

Lead, Mentor, and Set Standards

• Champion Modern Best Practices: Lead as the subject matter expert for tools like DBT, Snowflake, and Looker, establishing standards for building, testing, and optimizing multi-product data models.
• Coach Across the Business: Support analysts, scientists, and engineers in self-service by developing curated data layers and reusable tools.

Enable Fast, Autonomous Growth

• Optimise for Speed and Cost: Enhance our data platform for faster queries, lower costs, and seamless onboarding of new products to facilitate rapid experimentation and scaling.
• Data as a Product: Treat data models as products—reliable, observable, and impactful across various offerings.

Solve Hard Problems

• Own the Full Stack: Develop deep expertise in our data platform (AWS, Snowflake, DBT, Looker, orchestration frameworks) to deliver reliable solutions quickly.
• Automation & Efficiency: Focus on automation and reusability to scale multiple product lines efficiently.

Who You Are

• Technical Expertise: Extensive experience with production-grade ETLs, data warehousing, data modeling, proficiency in SQL, and understanding Snowflake architecture.
• Tooling Mastery: Hands-on with DBT, Looker or similar BI tools, and orchestration frameworks like Airflow or AWS Step Functions.
• Mindset: Proactive, customer-focused, viewing data as a product with scalability and self-service in mind.
• Collaborative Leader: Enjoy partnering with analysts, engineers, and product teams to deliver value iteratively.
• Bonus Points: Experience with Python, Java, cloud infrastructure (AWS), or backgrounds in insurance, fintech, or regulated industries; enthusiasm for building a multi-product ecosystem.

Everyone belongs at Marshmallow

We are committed to diversity and inclusion, welcoming applicants from all backgrounds. Gender identity, race, ethnicity, sexual orientation, age, or background do not influence our hiring process. We aim to foster an inclusive culture where everyone can do their best work, have fun, and feel a sense of belonging.

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