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Senior Analytics Engineer

Job in City Of London, Central London, Greater London, England, UK
Listing for: marshmallow
Full Time position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: City Of London

About Marshmallow

We 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 Marshmallow

Data 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 Doing

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.

Lead, Mentor, and 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.

Who You Are
  • Technical 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 job
  • Flexible 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…

Position Requirements
10+ Years work experience
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