Senior Analytics Engineer

London, England, United Kingdom

8/7/2025

About Zego

At Zego, we understand that traditional motor insurance holds good drivers back. It's too complicated, too expensive, and it doesn't reflect how well you actually drive. Since 2016, we have been on a mission to change that by offering the lowest priced insurance for good drivers.

From van drivers and gig workers to everyday car drivers, our customers are the driving force behind everything we do. We've sold tens of millions of policies and raised over $200 million in funding. And we're only just getting started.

Overview of team

The mission of the BI & Analytics team at Zego is to deliver relevant and reliable information to the right people at the right time, enabling rapid and effective decision-making supported by data.  It is a small and dynamic team, responsible for all the aspects related to data, including making data available, data cleaning, extraction, problem formulation and definition of success metrics, reporting and analytics.

About the Role

We are seeking a passionate Senior Analytics Engineer with a strong commercial sense and a natural curiosity for data. You are as comfortable designing and building robust data models as you are engaging with stakeholders to understand their business needs. You have a solid technical background and are confident working autonomously in a fast-paced, unstructured environment. At Zego, you will help shape and scale our data infrastructure to enable decision-making and support key strategic initiatives.

What you will be doing

Data Modelling & Engineering{​{:}

}
• Gather requirements from stakeholders and design scalable data solution
s
• Build and maintain robust data models and exposures in the data warehouse using dbt, Snowflake, and Looke
r
• Document architectural decisions, modelling challenges, and outcomes in a clear and structured wa
y
• Wrangle and integrate data from multiple third-party sources (e.g., Salesforce, Amplitude, Segment, Google Ads
  
  )

Data Quality & Operations{​{:

}
• } Ensure quality, reliability, and stability across data models and pipelin
e
• s Create secure, efficient data shares for external partners (e.g., S3, SFTP, Snowflake Data Sharin
g
• ) Contribute to the evolution and continuous improvement of our data platform, tooling, and process
  
  e
s

Stakeholder Enablement{​{

:
• }} Support business users across the company to promote a culture of data-driven decision-mak
i
• ng Translate complex business questions into well-designed data solutions and metr
i
• cs Enable and maintain self-service capabilities within our BI to
  o
l

s About

y
• ou You will have a minimum 3 years' experience as an Analytics Engineer or in a similar r
o
• le You will have proven experience in designing and maintaining data models for warehousing and business intellige
n
• ce You will have advanced SQL skills; experience with dbt and/or Looker is strongly prefer
r
• ed You will be proficient with modern data platforms (e.g., Snowflake, dbt, AWS, GCP, Looker, Tableau, Airfl
o
• w) You will have experience with version control tools such as
G
• it You will have exposure to Python for data or analytics engineering tasks (preferr
e
• d) You will demonstrate excellent problem-solving skills and meticulous attention to det
a
• il You will have experience in the insurance sector (preferred but not requir
e
• d) You will have strong commercial acumen with the ability to translate business requirements into scalable data soluti
o
• ns You will be someone who's actively curious about how AI can enhance your work - keen to experiment, learn quickly, and apply tools that improve productivity, streamline tasks, or unlock new ways of thinking. Whether you're already hands-on or fast building confidence, you take ownership of staying ahead and working smar
t

er What's it like to work at Ze

go?Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary thing

s. We're spread throughout the UK and Europe, and united by our drive to get things done. We're proud of our company and our culture - a friendly and inclusive space where we can lift each other up and celebrate our wins every d

ay.Together, we're setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There's loads of room to learn and grow, and you'll get the freedom to steer your career wherever you wa

nt.You'll work alongside a talented group who embrace each other's differences and aren't afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we're making insurance matt

er.How we w

orkWe believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. We ask you to spend at least one day a week in our central London office. We think it's a good mix of collaborative face time and flexible home-working, setting us up to achieve the right balance between work and li

fe.Our approach to

AIWe believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we'll provide you with the tools, support, and freedom to do it we

ll.Benef

itsWe reward our people well. Join us and you'll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that's just for starter

s! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability stat

us.