Job Opportunities API

About Zego At Zego, we know that traditional motor insurance holds good drivers back. It’s too complicated, too expensive, and it doesn't take into account how well you actually drive.  That’s why, since 2016, we’ve been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers. From van drivers and gig workers to everyday car drivers, our customers are our driving force — they’re at the heart of everything we do. We’ve sold tens of millions of policies so far, and raised over $200 million in funding. And we’re only just getting started. Purpose of the role 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. Requirements 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 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 smarter. 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. Benefits 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 extra