Analytics Engineer

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.

The role 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.

Job 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. Competitive bonus scheme, flexible benefits budget, mental wellbeing support, learning and development opportunities, private health care, medical cash plan, tech scheme, and more. Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month!

Applications details 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!