Data Engineer

Description:

You will develop mission-critical data solutions and manage pipelines that transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data.

Responsibilities include:

• Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi).
• Ensure data consistency, quality, and security across all processes.
• Create and maintain database schemas and data models.
• Integrate and enrich data from diverse sources, maintaining data integrity.
• Maintain and enhance existing architectural components such as Data Ingest and Data Stores.
• Troubleshoot and diagnose issues within integrated (enriched) data systems.
• Collaborate with the scrum team to decompose user requirements into epics and stories.
• Write clean, secure, and reusable code following a test-driven development approach.
• Monitor system performance and implement updates to maintain optimal operation.

The Data Engineer Should Have:

• Active eDV clearance (West)
• Willingness to work full-time on-site in London when required.

Required technical experience in the following:

• Apache Kafka
• Apache NiFI
• SQL and noSQL databases (e.g. MongoDB)
• ETL processing languages such as Groovy, Python or Java