Data Engineer

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. Essential Experience • 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.