Applications and Service specialist
Salary: £40,000 - £45,000 + 28% pension & company other benefits
Location: Bristol/Hybrid (1/2 days per week in the office)
Must have experience in one or more of the following: SharePoint Administration, Azure, Power Platform.
Position Overview:
We are seeking a highly skilled Applications Specialist to join our team. This role involves supporting, maintaining, and enhancing our Data platform to ensure it aligns with industry best practices and meets the organisation's needs.
The successful candidate will possess a robust understanding of big data and analytics, data engineering, and data design, along with experience in cloud integration and data security.
Key Responsibilities:
The Data Product Specialist will be responsible for optimising and managing our data infrastructure, which at present includes DataBricks, Power Platform and Azure, as well as some legacy data environments, ensuring efficient data processing and real-time analytics capabilities. This includes experience in data ingestion frameworks, stream processing, and cloud-native data services. The role would benefit from a strong knowledge of data science, and the use of advanced data engineering tools to implement scalable and robust data solutions.
Security and compliance are paramount; the candidate must be well-versed in data security best practices, compliance requirements, and governance frameworks. Additionally, the specialist will contribute to the automation of data workflows and CI/CD pipelines, enhancing collaboration and productivity across the organisation.
Technical Skills:
Candidates should have a comprehensive understanding of performance monitoring, troubleshooting, and optimisation of data platforms. Familiarity with Infrastructure as Code (IaC) tools and experience in maintaining data quality and governance will be beneficial.
The role also involves collaborating closely with cross-functional teams, including both developers, QA and data engineers, to drive continuous improvement and innovation within our data ecosystem.
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