LA International
Data Engineer
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Job title: Data Engineer (Java Skills)
Location: London – Hybrid
Contract: 6 months, with possibility of extension
Clearance: SC Cleared or eligible to obtain SC clearance
We are currently recruiting for an experienced Data Engineer with strong Java skills to support a major technology programme based in London.
The successful candidate will work within a technical engineering environment, helping to design, build and maintain scalable data solutions and services. The role requires strong hands-on development experience, particularly across Java, Kafka, Kubernetes and Python.
Key Responsibilities
- Design, develop and maintain scalable data engineering solutions and services.
- Develop robust applications and data-processing components using Java.
- Build and support event-driven and streaming solutions using Apache Kafka.
- Develop and maintain Python-based data processing, automation and integration solutions.
- Deploy and support applications and services within Kubernetes environments.
- Work with large and complex datasets across distributed systems.
- Develop reliable and maintainable data pipelines and integration services.
- Support the integration of data across applications, platforms and services.
- Troubleshoot technical issues across data pipelines, applications and infrastructure.
- Work closely with software engineers, architects, DevOps teams and other technical stakeholders.
- Contribute to technical design discussions and engineering best practices.
- Ensure solutions are scalable, secure, resilient and suitable for production environments.
- Support testing, deployment, monitoring and continuous improvement of engineering solutions.
- Produce and maintain appropriate technical documentation.
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Essential Skills & Experience
- Candidates should have strong commercial experience across the following:
- Java – strong hands-on development experience.
- Apache Kafka – experience developing or supporting Kafka-based messaging, streaming or event-driven solutions.
- Kubernetes – experience deploying, managing or supporting containerised applications.
- Python – experience developing scripts, applications, APIs or data-processing solutions.
- Strong understanding of software and data engineering principles.
- Experience working with distributed systems and data integration.
- Experience developing reliable, scalable production solutions.
- Strong troubleshooting and problem-solving skills.
- Experience working within Agile or collaborative engineering environments.
- Ability to communicate effectively with both technical and non-technical stakeholders.
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Desirable Experience
- Experience in any of the following would be beneficial:
- Cloud platforms such as AWS, Azure or GCP.
- Docker and containerised environments.
- CI/CD pipelines and automated deployment.
- REST APIs and microservices.
- SQL and relational or NoSQL databases.
- Data streaming and real-time processing.
- Infrastructure-as-Code or DevOps tooling.
- Working within large-scale enterprise or public-sector technology programmes.
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