3 of 3 Contract Databricks Jobs in Berkshire

and audit readiness. Systems & Process Integration: Collaborate with Technology and Finance teams to align data across platforms, ensuring migrations are executed right first time and leveraging modern tools (e.g., Databricks, Datasphere, Purview). Insight & Reporting Enablement: Partner with BI teams to surface unified, reconciled data models that support both management and statutory reporting. Capability Building: Define enduring roles and skills More ❯

Role/Job title Data Scientist - Azure ML Ops & Databricks Work Location Wokingham, UK Role type - Permanent/Fixed Term/Contracting Contracting Mode of working Hybrid/office based Office based 5 Days in Office If Hybrid, how many days are required in office? NA Number of positions 1 Duration of assignment 06 Months Any other working conditions - travel …/on call/shifts To be published on job boards from below onwards The Role: Data Scientist - Azure ML Ops & Databricks Your responsibilities: Data Analysis & Modeling: Utilize Python for advanced data analysis, exploration, and processing to uncover actionable insights. Develop and implement machine learning models and algorithms using Python , Azure Machine Learning , and Databricks . ML Ops & Deployment: Manage … Governance: Develop and maintain large-scale data models to support analytics and reporting needs. Ensure data quality and integrity through effective data governance and validation processes. Platform Expertise: Utilize Databricks for advanced data processing and analytics, ensuring scalability and performance. Continuous Improvement: Stay updated with the latest advancements in data science, machine learning, and cloud technologies to apply best practices. More ❯

DevOps Engineer, Cloud Engineer, or DataOps Engineer working in Azure-based data platforms, supporting complex, large-scale workloads within mature Agile delivery environments. Deep hands-on expertise with Azure Databricks, including clusters, job orchestration, Workflows, Repos, Delta Lake, Unity Catalog, metastore configuration, and workspace administration. Strong experience with Azure DevOps YAML pipelines, Git branching strategies, artifact management, automated testing, and … environmental promotion workflows. Expert-level knowledge of Terraform for provisioning Databricks resources, Azure networking, storage, key vaults, identities, private endpoints, and associated cloud infrastructure. Strong understanding of Azure cloud services such as Azure Data Lake Storage, Azure Key Vault, Azure Monitor, Azure VMs, Azure Networking, Azure Log Analytics, and Azure AD. Proficient in scripting with Python, Bash, or PowerShell, with … experience developing automation scripts, deployment utilities, and system health monitoring tools. Experience designing and implementing monitoring, logging, and observability solutions for data pipelines running in Azure Databricks, including cluster/job metrics, cost telemetry, and platform-level operational dashboards. Strong communication, documentation, and stakeholder management skills, collaborating effectively with technical and business teams. Understanding FinOps practices, including monitoring Azure cost More ❯