More jobs:
SQL DBA - Data Foundations - SC Cleared
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-02-16
Listing for:
Careerwise
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Science Manager -
Engineering
Data Engineer, Data Science Manager
Job Description & How to Apply Below
Location: Greater London
Role: SQL DBA - Data Foundations - Only SC Cleared Candidates
Location:
Remote, United Kingdom
Duration - 12 months +
Rate - Upto £650/Day Inside IR35
We are looking for an experienced SQL
DBA to join a growing Data Foundations team responsible for enterprise‑grade database platforms and data architecture.
If you're passionate about database engineering, schema design, and data modelling across complex environments - this role is for you.
Role OverviewAs a DBA/SQL Engineer, you will design, optimise, and maintain robust database systems that underpin critical business applications and analytics platforms. You will play a key role in shaping data foundations, ensuring performance, scalability, and governance across multiple technologies.
Key Responsibilities- Database administration, engineering, and performance tuning
- Advanced SQL development and optimisation
- Schema design and logical/physical data modelling
- Development using Oracle SQL & PL/SQL
- Support and management of DB2 environments
- Work with Cloudera Hadoop ecosystems
- Ensure data integrity, security, backup & recovery processes
- Collaborate with data architects and engineering teams on platform improvements
- Strong DBA background across enterprise environments
- Advanced Oracle SQL & PL/SQL development
- Experience with DB2 database platforms
- Exposure to Cloudera Hadoop
- Strong data modelling capability (conceptual, logical, physical)
- Schema design and database engineering experience
- Performance tuning and query optimisation expertise
- Experience in large‑scale, high‑volume data platforms
- Data governance & regulatory environment exposure
- Automation & Scripting (Shell/Python)
- Dev Ops‑aware database practices
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