SC Cleared Data Engineer

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Develop and maintain data pipelines and ETL processes using cloud-native technologies (e.g. Spark).

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Support integration across cloud and on-premise data sources.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Help design and implement event-driven data pipelines, improving performance and scalability.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Contribute to the development of data access layers and reusable ETL components.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Support onboarding of new data sources, including preparation and transformation of datasets.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Work with senior engineers to apply data engineering best practices and standards.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Contribute to CI/CD pipelines and Infrastructure as Code (IaC) activities.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Operate within AWS and Azure environments, supporting deployment and maintenance of data solutions.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Work with services including:

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> AWS: EC2, EMR, S3, Lambda

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Azure: Blob Storage and related services

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Collaborate with wider teams to ensure data quality, reliability, and performance.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Participate in knowledge sharing and continuous improvement initiatives., Hands-on experience with cloud platforms (AWS and/or Azure; exposure to both advantageous).

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Solid understanding of ETL processes and data integration concepts.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Basic experience with Infrastructure as Code tools (e.g. Terraform) and/or CI/CD tools (e.g. GitLab).

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Familiarity with key cloud services such as:

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> AWS: EC2, S3 (EMR/Lambda exposure beneficial)

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Azure: Blob Storage

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Understanding of version control and collaborative development practices.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Awareness of data security, governance, and compliance considerations.

Desirable

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Experience working with event-driven architectures or streaming technologies.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Exposure to data access layers and data platform design.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Experience in public sector or regulated environments.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Knowledge of cloud networking fundamentals.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Background in fraud, analytics, or large-scale data use cases.

Security Requirements

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> This role requires Security Clearance (SC).

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Candidates must be eligible and willing to undergo the clearance process.

Engineering Practices

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Growing understanding of DevOps and Agile delivery practices.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Commitment to writing maintainable, scalable code.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Enthusiasm for automation and reusable engineering patterns.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Active participation in code reviews and collaborative development sessions.

We are seeking a skilled Data Engineer to support the design, development, and optimisation of data platforms across complex transformation programmes. This position is ideal for an engineer with hands-on experience in data pipelines, cloud platforms, and ETL processes who wants to deepen their technical expertise within a collaborative, delivery-focused environment.

You'll play a key role in building reliable, scalable data solutions that enable analytics, reporting, and operational use cases., * p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Proven experience in data engineering or ETL development.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Strong knowledge of data pipelines and processing frameworks (e.g. Spark or similar).