Data Engineer
Data Engineer developing mission-critical data pipelines, ETL and integration solutions for a national security supplier, using Apache Kafka, NiFi, SQL/NoSQL (e.g. MongoDB) and languages like Python, Groovy or Java. Hybrid working from Manchester; an active Enhanced DV (West) clearance is mandatory.
- Compensation
- Not disclosed
- Location
- Warrington, United Kingdom
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Active Enhanced DV (eDV) Clearance (West)
- Willingness to work full-time on-site in Manchester when required
- Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL
- Apache Kafka
- Apache NiFi
- SQL and NoSQL databases (e.g. MongoDB)
- ETL processing languages such as Groovy, Python or Java
Full description
New Permanent Opportunity available with a leading National Security Organisation for an eDV cleared Data Engineer in Manchester
- Manchester location – hybrid working when possible
- Must hold active Enhanced DV Clearance (West)
- Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus
- Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL
Who Are We?
Our client is a trusted and growing supplier to the National Security sector, delivering mission-critical solutions that help keep the nation safe, secure, and prosperous. You’ll work with cutting-edge technologies including AI/Data Science, Cyber, Cloud, DevOps/SRE, and Platform Engineering. They have long-term contracts secured across the latest customer framework and are set for significant growth.
What will the Data Engineer be Doing?
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 Manchester 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