Analytics Engineer

marshmallow; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A technology company in Greater London is seeking a Data Engineer to design and maintain scalable data models for multiple products. You will work closely with cross-functional teams, enhancing data-driven decision-making and optimising the data platform for performance and cost. The ideal candidate will have strong SQL skills, experience with ETLs, and a passion for data as a product. This role offers flexibility in working arrangements and a competitive benefits package.

Benefits

Flexible working

Competitive bonus scheme

Flexible benefits budget

Mental wellbeing support

Learning and development budget

Private health care

Medical cash plan

Tech scheme

Qualifications

• Experience with production-grade ETLs and data modelling.
• Proficient in SQL and comfortable with modern data tools.
• Able to collaborate with cross-functional teams.

Responsibilities

• Design and maintain scalable data models for multiple products.
• Collaborate with teams to drive real-time decision-making.
• Optimise data platforms for speed and cost.

Skills

SQL

Data Warehousing

Data Modelling

DBT

Looker

Collaboration

Tools

AWS

Airflow

Job description

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 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.
• 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.

Who You Are

• 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.

Perks of the job

• 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!

Our process

• We 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)

Background checks

As part of our commitment to maintaining a safe and trustworthy environment, we’ll carry out standard background checks, including a DBS and a Cifas check. These help ensure there are no ongoing criminal proceedings and support the prevention of fraud and other forms of serious misconduct. If anything of concern is identified, it may affect your eligibility for certain roles or services. Feel free to ask our Talent Acquisition team if you have any questions about this!

Everyone belongs at Marshmallow

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.