Senior Data Engineer

Salary: £40,000 - 60,000 per year

Requirements:

• 4+ years of experience 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 such as Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform, or similar technologies
• 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
• We work AI-first, so you need to be curious, experiment fast, and take ownership of getting good quickly
• Nice to have: experience building Data Mesh or Lakehouse architectures
• Nice to have: familiarity with Kubernetes, Docker, and real-time streaming technologies such as Kafka or Kinesis
• Nice to have: exposure to ML engineering pipelines or MLOps frameworks

Responsibilities:

• Act as a strong technical contributor within our 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
• 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 so it can support both current and future business needs
• 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

Technologies:

• AI
• Airflow
• AWS
• CI/CD
• Claude Code
• Docker
• ETL
• Figma
• Support
• Kafka
• Kubernetes
• LESS
• MLOps
• Python
• SQL
• Snowflake
• Spark
• Terraform
• Zapier
• dbt
• Cloud
• Data Warehouse
• Marketing

More:

At Zego, we are leading the AI evolution in insurance and moving fast with a modern tech stack and AI-assisted engineering. We give our teams complete ownership to do impactful work, backed by tools like Claude Code, Snowflake, Figma, and Zapier. We operate like a high-performing sports team, with a shared mission, strong support, honest feedback, and an inclusive community across the UK and Europe. We use a hybrid working model, with some of us in our central London office weekly, others monthly or quarterly, and we also bring everyone together every quarter and once a year as a whole company. Our benefits include a market-competitive salary, annual performance bonus, share options, private medical insurance for you and your family, pension, generous holiday, and 1,000 a year to spend on commuting to the office or learning something new. We are an equal opportunity employer and value diversity.

last updated 36 week of 2026