Analytics Engineer (L)
Marshmallow, Hungary

Definitely not a sweet shop.

We're the tech company making insurance more accessible and more affordable for as many people as possible.

We’re proud of our journey so far. We’ve helped hundreds of thousands of customers get fairer cover, all while polishing a 4.6 star Trustpilot score. But we’re just getting started.

Over the next 2 years, we’re planning to help even more people by launching products and services across different sectors and countries

If you're looking for a challenge, our next chapter is set to be an exciting one

We've created a culture of trust which allows us to work autonomously without fear of failure, to challenge decisions, and be heard. It empowers us to drive our own careers and to move at unparalleled speed. And because we're treading new ground, we're all mastering new skills along the way.

Explore our culture handbook to find out more about life at Marshmallow, or read our blog!

We’re here to empower teams and individuals with data, at all levels at Marshmallow. We work across teams, evangelising a data driven culture , unlocking data silos and and promoting tools which enable self-service.

• The Analytics Engineer will act as the subject matter expert for any technical development in DBT 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.
• 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 Analytics 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.

Requirements

• You have commercial experience working on production ETLs (big data and data warehousing) and data modelling as a developer or an analyst.
• You have a deep understanding of SQL and data modelling.
• You are comfortable with general Data Warehousing concepts.
• You have experience with DBT.
• You have experience with Looker or similar data exploration and BI tooling.
• You proactively identify issues and opportunities that can improve work in your domain and beyond.
• You have experience building robust and reliable data sets requiring a high level of control.

Nice to haves:

• Exposure to Python, Java or similar languages.
• Any experience working within an insurance function or knowledge of insurance.
• Experience working with orchestration frameworks such as AWS Step Functions/Airflow etc.
• Experience working with AWS cloud services.

Benefits

• Flexi-office working Spend at least 2 days a week with your team in our new collaborative London office. The rest is up to you!
• 12 weeks worldwide remote Work from anywhere in the world for up to 12 weeks a year
• Work from home budget Get a personal budget to set up your home office
• Learning and training 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
• Mental wellbeing support Access therapy and mental health sessions through Oliva
• Equity Get options in Marshmallow as part of your offer, and have a real stake in the company’s success
• Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches

Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month!

We break it up into 3 stages:

• Initial call with one of our Talent team (45 mins)
• A skill-based interview where you will go through your past experience with the Data Engineering Team from team (1 hour)
• A culture interview with to check that your work style fits our processes and values (1 hour)
• We’ll let you know if you’re invited to an interview or not. But, as a small team with a lot of applications to consider, we can’t give personal feedback on each application.

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

Job Rewards and Benefits