At a Glance
- Tasks: Build and maintain data pipelines to support Zego's growth.
- Company: Join Zego, a forward-thinking insurance company revolutionising the industry.
- Benefits: Enjoy competitive salary, private medical insurance, and generous holiday allowance.
- Other info: Flexible hybrid working model and opportunities for personal development.
- Why this job: Make a real impact using cutting-edge tech in a collaborative environment.
- Qualifications: 2+ years as a Data Engineer with experience in modern data stacks.
The predicted salary is between 60000 - 80000 £ per year.
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.
About the Role
We're looking for a Data Engineer to join our data engineering function, helping to build and maintain the data platform that powers Zego's ambitious growth. This is a hands-on technical role. You'll build and maintain scalable, reliable, and secure data pipelines, working within an established platform and architecture. You'll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable.
AI is central to how we work at Zego, and that extends to engineering. You'll be encouraged to use AI tools to move faster, automate the routine, and focus your time on the problems that matter most, while staying thoughtful about where and how they add value. You'll learn from experienced engineers across the team, and you'll be encouraged to grow your technical skills while contributing to high-quality, well-tested work.
Requirements
What you will be doing
- Technical Delivery
- Build, maintain, and improve data pipelines and related systems.
- Follow and help uphold best practices in data engineering, including testing, CI/CD, observability, and infrastructure as code.
- Take part in code reviews and team knowledge sharing.
- Platform & Data
- Build and maintain data pipelines, warehouses, and streaming systems within our existing architecture.
- Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases.
- Contribute to improvements in our data systems and tooling.
- Collaboration & Delivery
- Work with teams across the business to understand requirements and turn them into reliable technical solutions.
- Help identify opportunities for optimisation and tool improvements.
- Deliver against the technical roadmap for data engineering.
About You
You’re a hands-on engineer who enjoys solving problems and building reliable systems. You bring solid technical fundamentals, a pragmatic mindset, and a collaborative approach to everything you do.
What You Bring:
- Experience: 2+ years as a Data Engineer working on data platforms, ideally in product-led or high-growth environments.
- Technical Skills: Experience building and operating ETL/ELT pipelines. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with some of these or similar technologies is expected).
- Collaboration: Ability to work effectively with teammates and stakeholders.
- Problem-Solving: Pragmatic approach to balancing quality with delivery needs.
- Growth Mindset: Eagerness to learn, take feedback, and grow your technical skills.
Nice to Have:
- Familiarity with Data Mesh or Lakehouse architectures.
- Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis).
- Exposure to ML engineering pipelines or MLOps frameworks.
What’s it like to work at Zego?
Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things. 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 day. 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 want. 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 matter.
How we work
We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. While some of our team choose to come into our central London office once a week, we’re flexible - some people prefer being in once a month or even quarterly. It’s all about finding the right balance between collaborative face time and focused home-working, so we can achieve great results while maintaining a healthy work-life balance.
Our approach to AI
We 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 well.
Benefits
We 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 starters!
We’re an equal opportunity employer and we 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 status.
Data Engineer employer: Zego
At Zego, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to reach their full potential. As a Data Engineer, you'll be part of a collaborative team in our central London office, where you'll have the opportunity to grow your technical skills while contributing to innovative projects that make a real difference in the insurance industry. With competitive salaries, generous benefits, and a flexible hybrid working model, Zego is committed to supporting your career journey and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Zego!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Zego.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Zego.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Zego, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Zego, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Zego. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Zego
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Zego!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
