At a Glance
- Tasks: Build and maintain scalable data pipelines using cutting-edge AI tools.
- Company: Join Zego, a leader in AI evolution within the insurance industry.
- Benefits: Competitive salary, performance bonuses, share options, and private medical insurance.
- Other info: Enjoy a flexible work environment with opportunities for career-defining experiences.
- Why this job: Make a real impact on data-driven infrastructure while growing your technical skills.
- Qualifications: 2+ years as a Data Engineer with experience in modern data stacks.
The predicted salary is between 56700 - 69300 £ per year.
The way we live, work and travel has changed. At Zego, we’re leading the AI evolution in insurance. AI takes the routine work off every team, from Finance to Product to Marketing, so people ship real code and launch custom dashboards in minutes. Engineering commits are entirely AI-assisted, which shifts the focus from team size to the quality of your thinking, and our data warehouse connects directly to an AI assistant for instant answers. Backed by a modern tech stack (Claude Code, Snowflake, Figma and Zapier) and a commitment to adopting new tools in days rather than quarters, you get complete ownership to do the most impactful work of your career.
Purpose of 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. 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
- 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.
- 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.
- 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.
What You Bring:
- Experience: 2+ years as a Data Engineer working on data platforms, ideally in product-led or high-growth environments.
- 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).
- Pragmatic approach to balancing quality with delivery needs.
- You work AI-first. You will use AI daily here, and we mean daily.
Nice to Have:
- Familiarity with Data Mesh or Lakehouse architectures.
- Exposure to ML engineering pipelines or MLOps frameworks.
Working here means having the backing, the coaching, and an inclusive community of Zegons across the UK and Europe who celebrate your wins and raise your game. It also means holding ourselves to high standards: moving with urgency, taking complete ownership, and embracing honest feedback that helps us continuously learn and evolve. This is your opportunity for a career-defining experience, and one you will own.
We call it Zego Hybrid: some of us are in our central London office weekly, others monthly or quarterly.
Benefits
- Market-competitive salary, benchmarked against your function and reviewed every year.
- Annual performance bonus, linked to company performance and your contribution.
- Share options, a real stake in the company and a share in the future you build.
- Private medical insurance, for you and your family.
- Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new.
- Cutting-edge systems and tools, so you always have what you need to drive your impact.
If you’re ready to help build the real-time, data-driven infrastructure for an intelligent world, we want to hear from you. Zego, leading the AI evolution in insurance. We were also named Best Insurance Company 2025. 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.
Senior Engineer, Data Engineering in London employer: Zego
At Zego, we pride ourselves on being an innovative employer that champions flexibility and creativity in the workplace. Our remote work culture empowers employees to thrive while enjoying competitive benefits and ample opportunities for professional growth in the rapidly evolving field of AI product management. Join us in transforming the insurance landscape from anywhere, and be part of a team that values your contributions and fosters a supportive environment.
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We think this is how you could land Senior Engineer, Data Engineering in London
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We think you need these skills to ace Senior Engineer, Data Engineering in London
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!
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How to prepare for a job interview at Zego
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨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.
