Data Platform Engineer – UK (Fully remote)

***SC Clearance required***

Salary: up to £65,000 + company benefits

Location: Can be based anywhere – remote working

37.5 hours

Must hold SC Clearance to start the job, will potentially need DV Clearance.

Main Responsibilities
The role day to day will be to design, implement, manage, and administer our client’s Analytic platforms and services. The goal is to deliver an open, secure, robust, scalable, reliable and high-performance solution.
You will work closely with the data, network, application and Analytic teams to make sure that all the big data applications are highly available and performing as expected.

Experience
Preferably 3 or more years’ experience in supporting Microsoft SQL 2016 or above Data & BI platforms (Power BI and Integration Services)
Experience in designing, running and troubleshooting Splunk based analytic platforms
Experience in working on implementing and supporting data platforms
Knowledge/Skills
Excellent interpersonal skills; able to work across teams to influence and effect change to achieve common goals
Database administration and querying (SQL).
Scripting (e.g. PowerShell, R, Python, Perl).
Windows server administration
Splunk administration and some querying
The following would be advantageous but not necessary:

Kerberos, SSL certificates.
Good knowledge of basic network protocols (e.g. IP, UDP, TCP), OS network stacks.
Remediating non-compliance issues from penetration testing
Basic Linux administration
Azure devops – Kanban boards and build/release pipelines
Calling REST APIs from Python
Experience dealing with virtualized infrastructure
IoT experience – device configuration
Docker/Kubernetes

Key pares of expertise:

Platform Engineer – supporting Splunk/SQL Server and Windows

3-5 years’ experience

BAU activities, get incidents that need resolving

Upgrades

Look at performance problems

Security of the platforms

Will be required to be on call – 2 evenings during the week and 1 at the weekend. Week on, Week off. Will be paid for being on-call and then paid overtime for being called out


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