19 of 19 Databricks Jobs in Berkshire

growth and operational excellence. What are we looking for? Hands-on experience designing scalable data platforms in the cloud using Azure D&A stack, Databricks, and Azure Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools like Informatica, and scalable data More ❯

Analyst Building logic, automating processes, reporting, providing analysis and insight, and working with tools such as SQL, PowerBI, Python, and Azure Data Factory, including Databricks to enhance efficiency and effectiveness. Working with large datasets from various internal and external sources, including environmental data, survey feedback, and operational data. Designing and More ❯

cases like NLP, computer vision, speech recognition, and anomaly detection. Integrate Azure AI services with other Azure tools such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Search. Handle data ingestion, processing, and storage for AI and analytics applications. Design and develop AI agents for creating intelligent autonomous systems. More ❯

people-not just hiring ready-made ones. You'll predominantly be designing and delivering cloud-based data solutions using Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Blob storage and Power BI. You'll work across the full More ❯

people-not just hiring ready-made ones. You'll predominantly be designing and delivering cloud-based data solutions using Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Blob storage and Power BI. You'll work across the full More ❯

Skills & Qualifications Advanced Analytics & ML Deployment - Expertise in Python, R, or similar, with strong proficiency in cloud-based AI/ML services (Azure ML, Databricks, etc.).Big Data & Cloud Platforms - Strong understanding of data architecture, cloud solutions, and real-time analytics.Statistical & Predictive Modelling - Deep knowledge of statistical methods, machine learning More ❯

Skills & Qualifications Advanced Analytics & ML Deployment - Expertise in Python, R, or similar, with strong proficiency in cloud-based AI/ML services (Azure ML, Databricks, etc.). Big Data & Cloud Platforms - Strong understanding of data architecture, cloud solutions, and real-time analytics. Statistical & Predictive Modelling - Deep knowledge of statistical methods More ❯

Competitive employer contributions to pension scheme and much more What youll be doing: Designing Azure-based data solutions using services like Azure Synapse, Azure Databricks, Cosmos DB, and Data Lake Storage Building conceptual, logical and physical data models for analytical use cases Defining architecture frameworks, standards, and principles Leading and More ❯

employer contributions to pension scheme and much more What you'll be doing: Designing Azure-based data solutions using services like Azure Synapse, Azure Databricks, Cosmos DB, and Data Lake Storage Building conceptual, logical and physical data models for analytical use cases Defining architecture frameworks, standards, and principles Leading and More ❯

employer contributions to pension scheme and much more What you'll be doing: Designing Azure-based data solutions using services like Azure Synapse, Azure Databricks, Cosmos DB, and Data Lake Storage Building conceptual, logical and physical data models for analytical use cases Defining architecture frameworks, standards, and principles Leading and More ❯

including experience in creating and managing reports, dashboards, and troubleshooting data visualization and performance issues, along with basic understanding of Data Analytics platforms (i.e. Databricks). Proficiency in SQL is preferred for querying and wrangling data to ensure accurate and efficient report generation. Strong understanding of financial statements and consolidation More ❯

Computer Science, Statistics, Data Science, or a related field. Extensive experience in clinical data programming and Data Visualization. Strong experience with Python programming (PySpark, Databricks, pandas, Numpy) is mandatory for this role. Good SDTM Knowledge. Strong SAS/R Programming and SQL expertise. Proficiency in CDISC SDTM standards. Excellent problem More ❯

governance, quality frameworks, and lifecycle management is second to none, and you're comfortable working with modern data platforms such as Amazon EMR, Glue, Databricks, DBT, Power BI or RStudio. Communication is your superpower whether you're presenting to the board or collaborating with IT, you know how to make More ❯

Kubernetes). - Implement best practices for cloud security, cost optimization, monitoring, and alerting. - Support the deployment and maintenance of modern data stacks (e.g., Snowflake, Databricks, BigQuery, Redshift). - Design and enforce networking, identity access, and compliance standards aligned with client requirements. - Write documentation, runbooks, and client-facing reports to support More ❯

CloudXcel is a technology-driven company dedicated to providing innovative cloud solutions to businesses worldwide. Our mission is to empower organizations to harness the full potential of their data in the cloud, unlocking insights and driving transformation. With a commitment More ❯

Create both High Level Design and Low-Level Design documents (must have). Understanding of enterprise architecture frameworks (must have). Experience of implementing Databricks and Data Warehouse solutions (must have). Expertise in integration architecture and design patterns. Protocols and formats SOA, Rest, JSON, XML, etc. Identity and Access More ❯

platforms to support business insights, analytics, and other data-driven initiatives. Job Specification (Technical Skills): Cloud Platforms: Expert-level proficiency in Azure (Data Factory, Databricks, Spark, SQL Database, DevOps/Git, Data Lake, Delta Lake, Power BI), with working knowledge of Azure WebApp and Networking. Conceptual understanding of Azure AI … collaborate with business segments (MW Snacking, Petcare, Royal Canin) to identify data platform requirements and develop tailored solutions working with vendors such as Microsoft, Databricks, Snowflake etc., Develop and implement strategies for activating new platforms, frameworks, and technologies within the MARS, deploy to segments and corporate teams within MGS. Ensure More ❯

Job title: Data Analyst Ref 40877 Division: Asset Operations & Capital Delivery Location: Reading - Kemble Court - RG2 6AD Contract type: Fixed term/Secondment Full/Part-time: Full-time Salary: Competitive salary from £37,600 to £43,000 per annum More ❯

and deployment effectiveness, including Azure DevOps. Considerable experience designing and building operationally efficient pipelines, utilising core Azure components, such as Azure Data Factory, Azure Databricks and Pyspark etc. Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use. … Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management. Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs. Experience with infrastructure as code, proficiency using tools such as Terraform to automate and manage cloud infrastructure, ensuring both More ❯