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Data Engineer
Hybrid- Knutsford or Glasgow
Rolling 6 Month
ASAP
We are looking for an experienced Data Engineer to join a team responsible for building and supporting scalable data platforms, pipelines and services that enable analytics, AI and wider business applications.
The ideal candidate will bring a strong combination of data engineering and Java development, alongside experience with modern cloud, DevOps and AI-assisted engineering practices.
Key Responsibilities
- Design, develop and maintain batch and real-time data pipelines.
- Build scalable ETL/ELT processes across structured and unstructured data.
- Develop enterprise-grade applications, APIs and services using Java.
- Work with Spring Boot, microservices and event-driven architectures.
- Implement data quality, governance, lineage and observability practices.
- Optimise data platforms for performance, scalability and cost.
- Develop and maintain CI/CD pipelines and automated deployment processes.
- Support cloud-native and containerised applications.
- Participate in architecture, design and code reviews.
- Contribute to platform modernisation and technical debt reduction.
- Use AI-assisted development tools such as Claude Code or GitHub Copilot to improve engineering productivity.
- Apply Specification-Driven Development (SDD) principles to specifications, code, testing and documentation.
- Validate and quality-check AI-generated code and technical outputs.
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Essential Experience
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- Strong commercial experience in Data Engineering and data platform development.
- Strong Java development experience, ideally Java 17 or 21.
- Experience with SQL, data modelling, data warehousing and distributed data processing.
- Experience building APIs, microservices and event-driven solutions.
- Strong knowledge of Spring Boot and enterprise integration patterns.
- Experience with Git and CI/CD using GitHub, GitLab or similar platforms.
- Knowledge of cloud platforms, containers and Infrastructure as Code.
- Understanding of data governance, quality, metadata and observability.
- Experience using AI-assisted development tools, such as Claude Code, Copilot or equivalent.
- Ability to review, test and validate AI-generated code and documentation.
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