Senior BI Engineer

at  Marshmallow

ABOUT MARSHMALLOW

We started Marshmallow when we found out how unfair insurance prices are for people who move to the UK. All because the industry hasn’t given this huge cohort of people a second’s thought, and isn’t set up to price them properly.
We saw an opportunity to do things differently, so we made it our mission to back the ones who step outside the norm. Since we started, we’ve helped 100,000s of people get a fairer deal on their car insurance. Using technology, we serve people that are often overlooked by financial services companies, solving important problems for people who need it most.
We know there are millions of marginalised customers out there. And we know that they face unique problems that most companies aren’t even aware of. We believe that our future is helping these people by learning about their experiences, and building our company around their needs. And there are strong signs that there’s a need for a company like us. Earlier this year we hit profitability, which is a huge milestone, but the most exciting thing is that we’re only just getting started.

• The Senior BI Engineer will act as the subject matter expert for any technical development in DBT, Snowflake or Looker. They will own these platforms, ensuring that any code changes and new features are built in a sustainable way and without contributing to tech debt
• Data Analytics Engineers will be required to form a deep understanding of our more holistic Data Platform to enable safe work on wider parts of the data stack.
• The Senior BI Engineer will partner closely with the analysts, holding them accountable to following best practice when working with these systems. They will view these tools/platforms holistically, designing a longer term strategy for how they can provide the most value to the business. Their success will be measured by the increase in analyst’s efficiency - whether this is achieved through better self-service by stakeholders or easier to analyse datasets.
• Championing the best practices within the data engineering domain with an emphasis on data quality, governance and a healthy data culture.