A cyber security and compliance organization is seeking an Azure SQL DBA, and I am working closely with the client to fulfil this requirement. The organization specializes in transforming company cultures and safeguarding data and values.
The company offers GDPR compliance, incident management, policy management, and phishing solutions, which help clients build trustworthy relationships with both employees and regulations.
The ideal candidate should have a proven track record of managing databases at scale, particularly in Azure SQL and the Azure platform.
As a DBA, they will continuously monitor the database for performance issues and provide support to developers in resolving database-related problems. Additionally, they will review code and encourage simplicity and clarity in data design while working with the team.
This is a hands-on role that involves daily management and maintenance of databases, as well as forward planning and designing new data tier elements.
Roles and responsibilities include:
- Collaborating with the CTO and Engineering Management to deliver the best data tier for their customers
- Creating comprehensive technical documentation, ensuring consistency in the use of shared data components and technologies
- Resolving database-related issues and performing backup/recovery/restore and capacity monitoring.
Essential Criteria to apply:
- A degree or master's degree in a relevant computer science or engineering discipline
- Good working knowledge of Azure SQL
- Excellent knowledge of MS SQL Server
- Excellent working knowledge of database technologies
- Experience in data warehousing, ETL technologies, and data storage.
Benefits:
The salary offered is between £50,000.00-£60,000.00 per year, and additional benefits such as:
- 25 Days holidays + 11 stat days
- WFH (One office visit a month)
- Company events
- Pension contribution up to 8%
- Healthcare cover
- Paternity and Maternity Cover
- Life insurance
- Referral programs, wellness programs, and work from home options are available.
The job requires an 8-hour shift from Monday to Friday (Flexibility with start times if need be), with no weekends.
If you are interested in applying for this or any other data engineering, data science, or data warehousing role, please contact Rachel Boyle directly on LinkedIn
