Data Engineer - SC Cleared

Project overview

Data Engineer

We are seeking an experienced Data Engineer to join a high-profile AI & Data programme within the UK Public Safety sector.

This role offers the opportunity to work on critical, large-scale data initiatives, designing and developing robust, scalable data solutions using modern cloud and data engineering technologies.

The successful candidate will bring strong Java development expertise, experience building data pipelines and ETL processes, and the ability to contribute to technical architecture and engineering best practices.

Key Responsibilities

Essential Skills & Experience

Desirable Skills

• Design, develop and maintain scalable, reliable data engineering solutions.
• Build and optimise data pipelines for ingestion, transformation and processing.
• Develop ETL processes to support data migration, integration and deployment activities.
• Ensure data quality, integrity, consistency and platform reliability.
• Collaborate with technical and business stakeholders to understand requirements and deliver effective solutions.
• Monitor, troubleshoot and optimise data platform performance.
• Contribute to architecture, technical design and engineering decisions.
• Provide technical guidance, mentor junior engineers and promote development best practices.
• Support continuous improvement and adoption of modern data engineering approaches.
• Work collaboratively within Agile delivery teams.
• Strong commercial experience in Data Engineering.
• Advanced Java development skills.
• Proven experience designing and developing scalable data pipelines.
• Strong knowledge of ETL processes, data integration and transformation.
• Understanding of data modelling, data quality and data life cycle management.
• Experience delivering enterprise-scale data engineering solutions.
• Strong problem-solving, troubleshooting and technical communication skills.
• Experience working in Agile environments.
• AWS: Experience developing and deploying cloud-based data solutions.
• Apache Kafka: Experience with Real Time data streaming and event-driven architectures.
• Kubernetes: Knowledge of container orchestration and cloud-native deployments.
• Big Data Technologies: Experience working with large-scale data processing platforms and frameworks.
• Experience contributing to architecture and technical design decisions.
• Previous experience mentoring engineers or providing technical leadership.

Project details

• Start: ASAP
• Duration: 9 months + Possible Extension
• Location: London, UK, GB
• Rate: 61-61 EUR/h
• Languages: English