At a Glance
- Tasks: Design and develop data pipelines for mission-critical solutions in National Security.
- Company: Trusted supplier to the National Security sector with a focus on innovation.
- Benefits: Competitive salary, 6% bonus, 25 days holiday, and clearance bonus.
- Other info: Hybrid working available; excellent growth opportunities in a dynamic environment.
- Why this job: Work with cutting-edge tech and make a real impact on national security.
- Qualifications: Active Enhanced DV Clearance and experience in data engineering tools.
The predicted salary is between 50000 - 60000 £ per year.
Location: Gloucester – 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:
- 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 Gloucester 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
Data Engineer – Gloucester employer: Searchability
As a leading supplier to the National Security sector, our company offers an exceptional work environment in Gloucester, where you can engage with cutting-edge technologies and contribute to mission-critical solutions that safeguard the nation. We pride ourselves on a collaborative culture that fosters innovation and professional growth, providing competitive salaries, generous holiday allowances, and a clear path for career advancement, all while supporting hybrid working arrangements when possible.
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We think this is how you could land Data Engineer – Gloucester
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We think you need these skills to ace Data Engineer – Gloucester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Searchability. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Searchability
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.