Senior Data Engineer

Insurance hasn’t changed much in over a century. The way we live, work and travel has.

Good drivers are the entire point of Zego. Seven in 10 drivers on the road are consistently good, but until telematics came along there was no way to prove it, so nearly everyone paid a price based on averages. Zego is the company built to change that. 

We move fast, without the layers that usually slow things down. 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.

We're looking for a Senior Data Engineer to be a key technical contributor within our data engineering function, helping to build and evolve our data platform to meet Zego's ambitious growth.

This is a hands-on technical role, you'll design and build scalable, resilient, and secure data systems, while supporting the wider team through knowledge sharing and collaboration. You'll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable.

While this role doesn't involve line management, you'll be expected to contribute to technical excellence within the team by sharing knowledge, reviewing code, and supporting less experienced engineers.

What you will be doing

Technical Delivery & Collaboration 

• Act as a strong technical contributor within the Data Engineering team.
• Support and help less experienced engineers grow through pairing, code review, and knowledge sharing.
• Promote best practices in data engineering, including testing, CI/CD, observability, and infrastructure as code.

Platform & Architecture

• Design, build, and maintain scalable and secure data pipelines, warehouses, and streaming systems.
• Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases.
• Contribute to the evolution of our data architecture, ensuring it can support both current and future business needs.

Collaboration & Delivery 

• Partner with teams across the business to understand requirements and translate them into robust technical solutions.
• Identify opportunities for optimisation, re-architecture, or tool improvements.
• Contribute to the delivery of the technical roadmap for data engineering.

What you will need to be successful

• Experience: 4+ years as a Data Engineer working on scalable data platforms, ideally in product-led or high-growth environments.

• Solid experience designing, building, and operating ETL/ELT pipelines and large-scale data architectures.
• 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 similar technologies is essential).
• Ability to work effectively with cross-functional stakeholders, translating technical concepts into business value.
• Experience supporting other engineers through code reviews, pairing, and knowledge sharing.
• Pragmatic approach to balancing technical excellence with delivery needs.
• You work AI-first. You will use AI daily here, and we mean daily. You do not need to arrive an expert, but you do need to arrive curious, experiment fast, and take ownership of getting good quickly. People who wait to be trained will find this uncomfortable.

Nice to have: 

• Experience building 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.

At Zego, we operate like a high-performing sports team. We come together as one, driven by ambition, backed by real support, and united by a shared mission to win.

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.

Do not take our word for it. Read what Zegons say about us on Glassdoor.

Teams work better with time to collaborate and space to get things done. We call it Zego Hybrid: some of us are in our central London office weekly, others monthly or quarterly. It is about finding the balance between face time and focus that produces great work and a healthy life around it.

We also make a point of getting everyone in the same room. Teams come together every quarter, and once a year the whole company does, properly. It is a serious investment and consistently one of the best parts of the year. Here is what the last one looked like.

• 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.

There’s more to Zego than just a job. Check out our blog for insights, stories and more.

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.