Data Engineer - SC Cleared
VIQU IT Recruitment
- Industry Type
- IT
- Functional Area
- Engineering
- Nationality
- Any
- Keywords
- Data Engineering RAG Experience AI Capability Management
Job Description
VIQU IT Recruitment is looking for a Data Engineer to manage the data platform for their program in Edgbaston, United Kingdom. The role involves handling data ingestion, modeling, and retrieval to support AI capabilities. Candidates must have recent hands-on experience with RAG technologies and hold active SC clearance.
- Position
- Data Engineer - SC Cleared
- Company
- VIQU IT Recruitment
- Location
- Edgbaston, United Kingdom
- Industry
- IT
- Experience
- 1 to 20 years
Responsibilities
- Own the data platform supporting the program.
- Manage data ingestion, modeling, and retrieval to enable AI capability.
Requirements
- Strong all-round experience in RAG.
- Recent hands-on work with RAG technologies.
- Active SC clearance is mandatory.
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About the role: Data Engineer - SC Cleared
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
Data Engineers design, build, and maintain systems that collect, store, and analyze large amounts of data. They typically work in IT departments across various industries, including technology, finance, and government sectors. Their role supports data-driven decision making by ensuring data is accessible and reliable.
What this role usually involves
- Develop and maintain data pipelines and architectures.
- Integrate data from multiple sources and formats.
- Optimize data systems for performance and scalability.
- Collaborate with data scientists and analysts to meet data needs.
- Ensure data quality and security standards are met.
- Troubleshoot and resolve data-related issues.
Skills employers usually look for
- Proficiency in programming languages such as Python, Java, or SQL.
- Experience with database systems and data warehousing solutions.
- Knowledge of big data technologies like Hadoop or Spark.
- Understanding of data modeling and ETL (Extract, Transform, Load) processes.
- Ability to work with cloud platforms and services.
- Strong problem-solving and analytical skills.
Usual qualifications
- A degree or diploma in computer science, information technology, or a related field.
- Familiarity with data engineering tools and frameworks.
- Certifications in cloud computing or big data technologies can be advantageous.
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