# Data Engineer

**Company**: Zego
**Location**: London
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Insurance

**Apply**: https://jobs.ashbyhq.com/zego/1da7075c-2bb2-460b-9eab-88716c4c0f95?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7df45fca-200

## 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

## Skills

### Required
- Python
- SQL
- Snowflake
- Apache Iceberg
- AWS S3
- PostgresDB
- Airflow
- dbt
- Apache Spark

### Nice to have
- Data Mesh
- Lakehouse architectures
- Kubernetes
- Docker
- real-time streaming technologies
- ML engineering pipelines
- MLOps frameworks

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/zego/1da7075c-2bb2-460b-9eab-88716c4c0f95?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)