51 to 75 of 281 Databricks Jobs in the UK excluding London

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 ❯

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 ❯

frameworks. Build and optimize RAG pipelines using models like GPT, Claude, or other LLMs integrated with document retrieval systems. Develop production-ready ML applications in cloud environments (AWS, SageMaker, Databricks, etc.). Leverage GPU-based computing resources and CUDA/Nvidia for performance optimization in training and inference. Collaborate with data engineers, software developers, and product teams to deliver AI More ❯

solutions development lifecycle: designing, developing, deploying, and debugging advanced knowledge of Azure Data development using Synapse, Azure Data Factory, and ADX. Other services require a good working knowledge of Databricks, Logic Apps, and the Power Platform knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc) and their real-world advantages/drawbacks knowledge More ❯

practices and tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within More ❯

practices and tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within More ❯

governance, security, and performance standards. Requirements: Recent experience as a Lead Data Solution Architect or equivalent. Skilled in streaming/event-driven architectures (Kafka, Confluent). Deep knowledge of Databricks, Unity Catalog, and Snowflake. Understanding of Data Mesh/Fabric and product-led approaches. Familiarity with cloud platforms (AWS, Azure, GCP). Leadership in Agile environments with budget and delivery More ❯

cloud-based data solutions. Key Responsibilities: Lead cross-functional teams to deliver scalable data solutions across cloud platforms Architect data lakes, lakehouses, and event-driven systems using tools like Databricks, Kafka, and Confluent Apply Data Mesh and Data Fabric principles to modern data architectures Define and implement data product strategies with a product-led mindset Ensure compliance with data governance More ❯

for front office reporting. What you'll need to succeed Strong business intelligence/data engineering experience with strong Power BI expertise. Data engineering experience building production pipelines - with Databricks Business experience working around the Front Office/Risk is a must! Understanding of regulatory reporting processes. Financial product knowledge e.g. - equities, fixed income, derivatives. Experience on Azure cloud platforms. More ❯

and production-ready Tech Stack & Experience: Strong Power BI (including DAX & paginated reports) Advanced SSAS Tabular model development T-SQL development and data modelling Exposure to AI tools , Python, Databricks or predictive analytics (beneficial, not essential) Insurance or wider financial services background preferred Strong communicator - confident engaging stakeholders across the business If you're a business-facing BI professional looking More ❯

should have: A strong background in data analysis and management within the industrial or manufacturing industry. Good knowledge around modern data platforms i.e Azure, Power BI, SQL, iPaas, Fabric, Databricks etc Proficiency in data visualisation tools and software. Experience with database management and analytics platforms. Excellent problem-solving and organisational skills. A degree in a relevant field such as Data More ❯

should have: A strong background in data analysis and management within the industrial or manufacturing industry. Good knowledge around modern data platforms i.e Azure, Power BI, SQL, iPaas, Fabric, Databricks etc Proficiency in data visualisation tools and software. Experience with database management and analytics platforms. Excellent problem-solving and organisational skills. A degree in a relevant field such as Data More ❯

should have: A strong background in data analysis and management within the industrial or manufacturing industry. Good knowledge around modern data platforms i.e Azure, Power BI, SQL, iPaas, Fabric, Databricks etc Proficiency in data visualisation tools and software. Experience with database management and analytics platforms. Excellent problem-solving and organisational skills. A degree in a relevant field such as Data More ❯

including coding and testing for ingesting wrangling transforming and joining data from various sources. About the role The ideal candidate should be adept in ETL tools like Informatica Glue Databricks and DataProc with strong coding skills in Python PySpark and SQL. You will have expertise in data warehousing solutions such as Snowflake BigQuery Lakehouse and Delta Lake is essential including More ❯

full lifecycle delivery experience. Ability to lead architectural strategy and oversee implementation. Architectural Expertise Deep knowledge of event-driven architectures (Kafka, Confluent). Experience with data lakes/lakehouses (Databricks, Unity Catalog). Familiarity with Data Mesh, Data Fabric, and product-led data strategies. Expertise in cloud platforms (AWS, Azure, GCP, Snowflake). Technical Skills Proficiency in big data tools 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 ❯

integral to the role. Desirable to have knowledge and expertise in programming languages such as Python and R. Experience working with cloud-based data platforms, such as Snowflake or Databricks is preferred. Expertise in using T-SQL to interrogate and extract data through complex queries and stored procedures. A comprehensive understanding of databases, query optimisation, load monitoring, the Microsoft BI More ❯

integral to the role. Desirable to have knowledge and expertise in programming languages such as Python and R. · Experience working with cloud-based data platforms, such as Snowflake or Databricks is preferred. · Expertise in using T-SQL to interrogate and extract data through complex queries and stored procedures. · A comprehensive understanding of databases, query optimisation, load monitoring, the Microsoft BI More ❯

be recognised as the winner of the 2024 Microsoft Community Response Partner of the Year award, reflecting our dedication to using technology for positive change. We are also a Databricks partner, and an IBM Gold Partner, specialising in Cognos Analytics and Planning Analytics. Our company culture and people are at the heart of our business. We invest in our employees 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 ❯

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 ❯

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 ❯

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 ❯

Asda's data strategy. What You'll Bring Proven experience in data analysis, with the ability to interpret complex information and deliver meaningful insights. Advanced SQL knowledge Experience with Databricks is a plus, though not essential. Familiarity with relational databases and data structures. Proficiency in Excel and other Microsoft Office tools; experience with BI platforms such as Power BI is More ❯

.NET, dbt, Airflow and cloud-native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns - including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know how to build with performance, security and maintainability in mind You can comfortably influence and guide both technical and non-technical stakeholders You're passionate about helping others More ❯