19 of 19 Databricks Jobs in the Thames Valley

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

Senior Databricks Data Engineer (flexible location) Bibby Financial Services have an exciting opportunity available for a reliable Senior Databricks Data Engineer to join our team. You will join us on a full time, permanent basisand in return, you will receive a competitive salary of £60,000 - £70,000 per annum. About the role: As our Senior Databricks Data Engineer, you … coach, support and organise to ensure we sustain a predictable pipeline of delivery, whilst ensuring all appropriate governance and best practice is adhered to. Your responsibilities as our Senior Databricks Data Engineer will include: Understand the business/product strategy and supporting goals with the purpose of ensuring data interpretation aligns Provide technical leadership on how to break down initiatives … databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques What we are looking for in our ideal Senior Databricks Data Engineer: A Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Alternatively, relevant experience in the data engineering field Databricks, including Unity Catalog Terraform More ❯

Python capabilities - minimum 2-3 years hands-on experience Comprehensive Data Engineering background - proven track record in enterprise data solutions Experience with ETL processes and data transformation, preferably using Databricks Strong foundation in Data Warehousing architectures and dimensional modeling Familiarity with batch processing from relational database sources Communication & Collaboration Skills of the Data Engineer Outstanding stakeholder engagement abilities across technical More ❯

experience (including QGIS) FME Advanced Database and SQL skills Certifications : AWS or FME certifications are a real plus. Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks or similar is a bonus. The role comes with excellent benefits to support your well-being and career growth. KEYWORDS Principal Geospatial Data Engineer, Geospatial, GIS, QGIS, FME, AWS, On More ❯

analytical background, including Excel, MS Access, SQL, Power BI, ArcGIS Online, and FME. Knowledge and capability in a wide variety of additional analytical tools and ETL (e.g. Python, SQL, Databricks, Microsoft Flow, Azure Data Factory). Extensive previous experience in data management. Degree in Environmental Science, Data Management, Hydrology, or a related field. Experience with remote sensing technologies and water More ❯

In-depth experience in AI application development. You have previously planned and developed end-to-end solutions. Proficiency in C#, .NET Core, and Python. Experience with Azure Data Factory, Databricks, and either Azure Cosmos DB or Azure SQL Database is beneficial. Experience in designing and maintaining robust CI/CD pipelines, applying Infrastructure as Code (IaC) principles with exposure to More ❯

both technical depth and client-facing credibility . Key Responsibilities: Lead the design and delivery of enterprise-scale data platforms using cloud technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement More ❯

deploy software to production and monitor releases using appropriate tools. Strong proficiency in designing applications and integrating services such as Azure Function Apps, Azure Service Bus, Azure Logic Apps, Databricks, Cosmos DB, and SQL Server relational databases. Hands-on experience with containerisation and orchestration using Docker and Azure Kubernetes Service (AKS), ensuring efficient and scalable application deployment. About SSE SSE More ❯

for data manipulation or basic modelling. Understanding of performance frameworks in the sector (e.g. Ofwat, Environment Agency). Knowledge or experience with cloud-based tools (e.g., Azure Data Lake, Databricks, etc). Comfortable working with large datasets and identifying patterns and anomalies. Ability to present findings to technical and non-technical audiences. Typically, at least 2 years of relevant technical More ❯

of Azure components including Virtual Machines/Scale Sets, Azure Kubernetes Service, API Management, App Services/Service Environments, Azure SQL and MI, Functions, Networking, App Insights, Data Factory, Databricks, Identify Management (Entra) Azure DevOps/ADO Solid understanding of Terraform, Helm, Flux, Powershell/Azure CLI Attributes : Able to work well in a team, as part of a department More ❯

deep understanding of Azure PaaS components. Key areas: o AKS (deployment + management) o API Management o Azure SQL and MI o Functions o Networking o Data Factory o Databricks Proven experience with Azure DevOps (ADO) Solid understanding of o Terraform o HELM o KQL Advantageous: Healthcare or Government related industry experience Understanding of JIRA and Confluence Understanding or experience More ❯

Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning Deals, Advisory and Restructuring capabilities. We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and More ❯

Virtual Machines/Scale Sets Azure Kubernetes Service (deployment + management) API Management App Services/App Service Environments Azure SQL and MI Functions Networking App Insights Data Factory Databricks Identity Management (Entra) Proven experience with pipeline creation/management, specifically in Azure DevOps (ADO) Solid understanding of Terraform HELM Flux Powershell/Azure CLI Please send CV for ful More ❯

calculated fields when required Possess hands on experience with SQL and knowledge of data warehousing and dimensional modelling will be advantageous Experience using large data platforms such as Snowflake, Databricks or similar Exposure to other visualisation platforms is helpful, but not essential Required Characteristics Cares about quality, ensuring data accuracy and consistency across all visualisations Confident in presenting dashboards and More ❯

and drive strategic decision-making What You'll Bring Strong grounding in data governance and MDM Experience with tools like Azure Purview Big data cloud familiarity (e.g., Azure, Synapse, Databricks) Excellent stakeholder collaboration and analytical problem-solving skills Agile, iterative project delivery expertise What You'll Get Competitive salary 26 days of annual leave (rising to 30 over time), plus More ❯

and drive strategic decision-making What You'll Bring Strong grounding in data governance and MDM Experience with tools like Azure Purview Big data cloud familiarity (e.g., Azure, Synapse, Databricks) Excellent stakeholder collaboration and analytical problem-solving skills Agile, iterative project delivery expertise What You'll Get Competitive salary 26 days of annual leave (rising to 30 over time), plus More ❯

Engineer to join on a contract basis to support major digital transformation projects with Tier 1 banks. You'll help design and build scalable, cloud-based data solutions using Databricks , Python , Spark , and Kafka -working on both greenfield initiatives and enhancing high-traffic financial applications. Key Skills & Experience: Strong hands-on experience with Databricks , Delta Lake , Spark Structured Streaming , and More ❯

experience across coding/configuration/automation/monitoring/security is necessary. Significant AWS or Azure hands-on experience. ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones. Data Lakes: Azure Data, Delta Lake, Data Lake or Databricks Lakehouse. Certifications: AWS, Azure, or Cloudera certifications are a plus. To be considered for this role you More ❯