Description
At Zego, we're on a mission to revolutionize insurance with AI-driven infrastructure.
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.
Responsibilities
- 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.
- 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.
- 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.
Requirements
- 2+ years of experience 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, including Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark.
- Ability to work effectively with teammates and stakeholders.
- Pragmatic approach to balancing quality with delivery needs.
- Eagerness to learn, take feedback, and grow your technical skills.
- You work AI-first, using AI daily, and are curious, experimental, and willing to take ownership of getting good quickly.
Nice to Have
- Familiarity with Data Mesh or Lakehouse architectures.
- Familiarity with Kubernetes, Docker, and real-time streaming technologies.
- Exposure to ML engineering pipelines or MLOps frameworks.
Benefits
- Market-competitive salary
- Annual performance bonus
- Share options
- Private medical insurance
- Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new
- Cutting-edge systems and tools