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# Data Engineer London

- **Company:** Zegons
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Data Analysis, Apache HTTP Server, Code Review, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Systems, Python (Programming Language), SQL Databases, Data Streaming, Snowflake, Apache Spark, Build Management, Kubernetes, Apache Kafka, Data Management, Terraform, Stream Processing, Data Pipelines, Docker
- **Published:** September 22, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-engineer-london/47920915

## About the Role

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. Platform & Data 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. Collaboration & Delivery 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. What you will need to be successful Experience: 2+ years as a Data Engineer working on data platforms, ideally in product-led or high-growth environments. Technical Skills:
Experience building and operating ETL/ELT pipelines. 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 some of these or similar technologies is expected). Collaboration: Ability to work effectively with teammates and stakeholders. Problem-Solving: Pragmatic approach to balancing quality with delivery needs. Growth Mindset: Eagerness to learn, take feedback, and grow your technical skills. 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: Familiarity with Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis).

## Description

the future of insurance, we're hiring. Purpose of the role 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. This is a hands-on technical role. You'll build and maintain scalable, reliable, and secure data pipelines, working within an established platform and architecture. You'll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable. AI is central to how we work at Zego, and that extends to engineering. You'll be encouraged to use AI tools to move faster, automate the routine, and focus your time on the problems that matter most, while staying thoughtful about where and how they add value. You'll learn from experienced engineers across the team, and you'll be encouraged to grow your technical skills while contributing to high-quality, well-tested work. What you will be doing Technical Delivery


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