6 of 6 Clustering Jobs in Berkshire

RBAC, Conditional Access, MFA, PIM). Proficiency across Windows Server 2016/2019/2022 (benefit: legacy familiarity from 2003+), DNS/DHCP, DFS, clustering, and Windows PKI. Operational excellence with Domain Controllers and FSMO role management. Azure PowerShell scripting for automation and support. Experience with O365/Exchange Online ...

Fundamentals certification Knowledge of: Web filtering (Websense, Mimecast) Endpoint security (Microsoft Endpoint Protection, McAfee) SharePoint Patching and maintenance tasks Hyper-V, SCVMM, SQL Server, clustering Networking or cloud certifications Key Attributes Customer-focused with a commitment to service excellence Strong analytical and problem-solving skills Ability to work independently ...

strong data quality checks and observability. Implement curated data layers and models (e.g., bronze/silver/gold as appropriate), including partitioning, file sizing, clustering strategies, and query optimization. Establish engineering standards: code quality, unit/integration testing, CI/CD, release governance, and reusable frameworks. Partner with governance, security ...

pipelines Leading Lakehouse architecture implementations (greenfield Databricks projects) Working across Azure Data Lake, Data Factory and multiple data sources Implementing performance optimisation (partitioning, clustering) within Databricks Defining data models and Databricks architecture standards Establishing data governance and security frameworks Aligning data architecture with enterprise cloud strategy Supporting development using PySpark ...

pipelines Leading Lakehouse architecture implementations (greenfield Databricks projects) Working across Azure Data Lake, Data Factory and multiple data sources Implementing performance optimisation (partitioning, clustering) within Databricks Defining data models and Databricks architecture standards Establishing data governance and security frameworks Aligning data architecture with enterprise cloud strategy Supporting development using PySpark ...

foundation for genuinely advanced work: predictive modelling, NLP on clinical data, and AI pre/post-call agents powered by LLMs. Customer segmentation using clustering models and Monte Carlo simulations will also feature. This is not just a dashboarding team. Their work is end-to-end, which is rare ...