Analytics Engineer

About Marshmallow

We founded Marshmallow after discovering the unfair insurance pricing system for those moving to the UK. The insurance industry hasn't considered this large group of consumers, resulting in ill-suited pricing strategies.

We saw a chance to operate differently and established a mission to support those who defy traditional norms. Thus far, we've helped hundreds of thousands secure fair car insurance deals. Leveraging technology, we cater to demographic groups neglected by financial service companies, providing solutions to significant issues for those who need them. 

We understand that millions of customers are underserved and encounter unique problems many businesses don't consider. We believe in shaping our future around these individuals by understanding their experiences and catering to their needs. Our profitability this year is a testament to the demand for our services, and this is just the beginning.

How we work

We take great pride in our work culture. Promoting progress daily, we believe that significant milestones are achievable by undertaking numerous smaller steps. We foster an environment of collaboration, where idea-sharing, experience, and knowledge exchange are encouraged. We accept and capitalize on failures, always promoting creativity, experimentation, and risk-taking. We empower our team members to take work ownership and challenge established processes. 

Clear direction supports autonomy and ownership. We collaborate for comprehensive planning twice a year, ensuring all objectives and goals flow from the top down. To maintain alignment across different functions, we organize work into four tribes: Acquisition, Retention, Claims and Pricing, and Underwriting & Fraud. Each tribe comprises several cross-functional teams working towards a common goal.

As we excitedly anticipate the challenges that lie ahead, we need more hands on deck! If Marshmallow's work culture resonates with you, check out our or to discover more.

The Data Engineering Team

We strive to empower everyone in Marshmallow using data. We collaborate with all teams, championing a data-driven culture, breaching data siloes, and advocating tools promoting self-service.

Find out more about our teams and how our engineers work !

What you’ll be doing

• As a Data Analytics Engineer, you will act as a specialist for any technical development in DBT, Snowflake, or Looker. Furthermore, you will be responsible for changes to codes or new feature additions to these platforms and ensuring they are sustainable and don't contribute to tech debt.

• Data Analytics Engineers will need to comprehend our broader Data Platform to safely modify broader areas of the data stack.

• The Data Analytics Engineer will closely collaborate with analysts, holding them accountable for abiding by the best practices when using these systems. They will consider these tools and platforms holistically and design a long-term strategy to provide maximum value to our business. The increase in the efficiency of our analysts will measure their success.

• Promoting the best practices in the data engineering domain with an emphasis on data quality, governance, and building a robust data culture.

Who you are (Must haves)

• You have hands-on experience working on production s (big data and data warehousing) and data modelling as a developer or analyst

• You exhibit a profound understanding of SQL and data modelling

• You are familiar with basic Data Warehousing concepts

• You have operated with DBT

• You have experience with Looker or similar data exploration and BI tools

• You can independently identify problems and opportunities that can enhance work in your field and beyond.

• You have a track record of creating robust and reliable data sets with a keen eye for data quality.

• You have worked seamlessly with analysts and/or have experience as an analyst.

What we're looking for from you (Nice to haves)

• Exposure to languages such as Python or Java

• Knowledge or experience within an insurance function

• Experience working with orchestration frameworks like AWS Step Functions/Airflow etc

• Experience with AWS cloud services

Perks of the job

• Flexible working - Spend 3 days at our London office and manage your schedule for the rest of the week. If this doesn't suit you, don't back down. We're open to making reasonable adjustments for better accommodation.

• Competitive bonus scheme - Our rewards and recognition scheme acknowledges outstanding performance.

• Flexible benefits budget - You will receive £50 monthly to spend on a Ben Mastercard for anything of your choosing, such as subscriptions, educational classes, groceries, or home decor.

• Mental wellbeing support – Avail therapy and mental health sessions through Oliva.

• Learning and development – We provide personal budgets for books and training courses to aid growth in your role. We also give 2 days a year for improving skills.

• Private health care - Enjoy the benefits of Vitality, including gym membership discounts and smartwatch discounts.

• Medical cash plan - Covers costs for dental, optical and physio sessions, and more.

• Tech scheme - Avail the latest tech gadgets at discounted prices.

Additional benefits include 33 holidays (including bank holidays), pension scheme, cycle to work scheme, team socials and company-wide events every month.

Our process

The hiring consists of three stages:

• Initial call with a member of our Talent team (30 mins)

• Skills-based and cultural interview with Randal, Lead Data Engineer, and Ina, our Head of Analytics (75 mins)

• A technical interview with Kornel and Eddy, our Senior Data/Analytics Engineers, focusing on analytics and coding (1 hour). Unfortunately, due to large numbers of applications, we're unable to offer personal feedback on each application.

Everyone belongs at Marshmallow

At Marshmallow, we hire individuals from diverse backgrounds who can help us fulfill our mission. We are committed to non-discriminatory hiring.

We encourage all to apply for our job openings. Your sexual orientation, age, race, ethnicity, or background won’t influence our decision-making process.

We are diligently working towards developing a culture where everyone feels empowered to perform their best, have fun and feel that they belong.