1 to 25 of 30 Databricks Jobs in the Thames Valley

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 ❯

for each of these) Experience of Industrial Automation and Control Engineering Experience with ETL/data pipelines Experience of integrating with technology similar to databricks, PowerBI, Aveva PI Database schema design Experience of creating Windows installers Experience of GUI development Behaviours and personal characteristics: Passionate about writing robust, efficient code More ❯

for each of these) Experience of Industrial Automation and Control Engineering Experience with ETL/data pipelines Experience of integrating with technology similar to databricks, PowerBI, Aveva PI Database schema design Experience of creating Windows installers Experience of GUI development Behaviours and personal characteristics: Passionate about writing robust, efficient code 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 ❯

data strategies and getting buy-in from the board. Strong technical background with experience delivering enterprise-level data platforms and infrastructure (Azure, SQL Server, Databricks, or similar). Strong understanding of data engineering, pipeline optimisation, and CDC/ETL best practices. Proven leadership of data teams and cross-functional initiatives More ❯

data strategies and getting buy-in from the board. Strong technical background with experience delivering enterprise-level data platforms and infrastructure (Azure, SQL Server, Databricks, or similar). Strong understanding of data engineering, pipeline optimisation, and CDC/ETL best practices. Proven leadership of data teams and cross-functional initiatives More ❯

of experience in data leadership roles Strong technical expertise in RDBMS (3rd–4th normal form), NoSQL, cloud platforms (AWS/Azure), and tools like Databricks or Microsoft Fabric Experience managing and growing high-performing data teams Clear commercial understanding of data as a product Ability to simplify complexity and communicate 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 ❯

Vue) to build internal screens. Background in Energy Markets or Trading Environment (e.g. Trading exchanges, ETRMs) Familiarity with Data and Analytics Environments such as DataBricks, Fabric and their storage solutions (Delta Tables, LakeHouses, KQL) Experience with algorithmic trading routines or development of Trading Systems More ❯

Vue) to build internal screens. Background in Energy Markets or Trading Environment (e.g. Trading exchanges, ETRMs) Familiarity with Data and Analytics Environments such as DataBricks, Fabric and their storage solutions (Delta Tables, LakeHouses, KQL) Experience with algorithmic trading routines or development of Trading Systems 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 ❯

with the latest tools and techniques. A deep understanding of Azure components. Key areas: API Management Azure SQL and MI Functions Networking Data Factory Databricks Identity Management (Entra) Proven experience with pipeline creation/management, specifically in Azure DevOps (ADO). Solid understanding of Terraform. HELM. Advantageous: Healthcare or Government 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 ❯

Transform Healthcare with Cutting-Edge Tech! ???? Position: Data Engineer (Python/Databricks) Location: Remote Salary: Up to £80,000 + Benefits Are you driven by a passion for health tech and innovation? Do you dream of revolutionizing clinical research through advanced technology? If so, we have an incredible opportunity for … external data integrations. Ensure Data Security: Apply protocols and standards to secure clinical data both in-motion and at-rest. Shape Data Workflows: Utilize Databricks components like Delta Lake, Unity Catalog, and ML Flow to ensure efficient, secure, and reliable data workflows. Key Responsibilities Data Engineering with Databricks: Design and … ELT Processes: Develop and optimize data models, ETL/ELT processes, and data lakes to support data analytics and machine learning. Requirements Expertise in Databricks: Proficiency with Databricks components such as Delta Lake, Unity Catalog, and ML Flow. Azure Data Factory Knowledge: Experience with Azure Data Factory for data orchestration. 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 ❯