Junior Data Engineer - SC Cleared

SR2 - Socially Responsible Recruitment; Greater London; On-site; GBP 55,000 - 90,000; Full time

Job summary

SR2 - Socially Responsible Recruitment seeks a Data Engineer to join a large-scale public sector data programme in the UK. The role emphasizes secure, scalable data services with strong Java and Python capability.

The position involves building data pipelines, working with Kafka for event-driven processing, and deploying services in Kubernetes. You will collaborate with DevOps and delivery teams while adhering to security and coding standards. SC clearance is required for the engagement.

Qualifications

• Commercial Java development experience.
• Strong Python skills.
• Practical experience with Apache Kafka.
• Experience working with Kubernetes.
• Understanding of modern data engineering and software engineering practices.
• Comfortable working within Agile, multidisciplinary delivery teams.

Responsibilities

• Develop and maintain data engineering solutions using Java and Python.
• Build and support data pipelines and processing services.
• Work with Kafka for event-driven data processing and streaming.
• Deploy and support services within Kubernetes environments.
• Contribute to testing, troubleshooting and continuous improvement of data services.
• Work collaboratively with senior engineers, DevOps and wider delivery teams.
• Follow established engineering, security and coding standards.

Skills

Java

Python

Apache Kafka

Kubernetes

Data engineering

Agile

Tools

Kafka

Kubernetes

Job description

Data Engineer - SFIA Level 3 - SC Cleared

We are looking for a Data Engineer to join a large-scale public sector data programme, supporting the development and maintenance of secure, scalable data services.

The role would suit an engineer with strong Java and Python capability, alongside practical experience working with event-driven and containerised platforms.

Key responsibilities

• Develop and maintain data engineering solutions using Java and Python.
• Build and support data pipelines and processing services.
• Work with Kafka for event-driven data processing and streaming.
• Deploy and support services within Kubernetes environments.
• Contribute to testing, troubleshooting and continuous improvement of data services.
• Work collaboratively with senior engineers, DevOps and wider delivery teams.
• Follow established engineering, security and coding standards.

Essential skills

• Commercial Java development experience.
• Strong Python skills.
• Practical experience with Apache Kafka.
• Experience working with Kubernetes.
• Understanding of modern data engineering and software engineering practices.
• Comfortable working within Agile, multidisciplinary delivery teams.

Security

Candidates must hold appropriate SC clearance for the engagement.