126 to 150 of 612 Databricks Jobs in the UK

large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to evaluate More ❯

large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to evaluate More ❯

large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to evaluate More ❯

Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track record of delivering scalable AI solutions in enterprise settings, preferably in life sciences. Excellent communication and interpersonal skills, with the ability to lead projects and 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 ❯

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 ❯

engineering roles, preferably for a customer facing data product Expertise in designing and implementing large-scale data processing systems with data tooling such as Spark, Kafka, Airflow, dbt, Snowflake, Databricks, or similar Strong programming skills in languages such as SQL, Python, Go or Scala Demonstrable use and an understanding of effective use of AI tooling in your development process A More ❯

autonomy environments with a strong culture of accountability. Nice to Have: Familiarity with React and how front end teams consume and interact with back end services. Experience with the Databricks platform and ecosystem. Prior experience in a market intelligence, financial data, or analytics SaaS business. Working knowledge of SQL/NoSQL databases and data modelling in analytics contexts. Comfortable working More ❯

superior verbal and written communication skills Working understanding of ML Ops and DevOps frameworks Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company where we're striving to build the 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 ❯

e.g., Pandas, NumPy) and deep expertise in SQL for building robust data extraction, transformation, and analysis pipelines. Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake, with a focus on scalability and performance optimization. PREFERRED QUALIFICATIONS: Solid understanding of cloud infrastructure, particularly AWS, with practical experience using Docker, Kubernetes, and implementing CI/CD 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 ❯

bringing digital transformation to life in our commercial areas! You will: Partner with Shopper digital product teams to ensure high quality data is collected and published to LEGO Nexus (DataBricks) to a standard fit for purpose for downstream delivery of data products. Transform, cleanse and enrich data to build self-serve data sources for use across analytical teams, the broader 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 ❯

We're looking for a Staff Recruiter with experience driving Sales recruitment in the EMEA region to help us identify and hire great people for Databricks as we continue our expansion. You will conceive practical and creative ways to identify leading talent and invest considerable time in activating and engaging passive candidates. You will use data to set benchmarks and … long-term hiring goals Create closing approaches to manage partner expectations through market data Lead the business with data to promote future workforce planning decisions and accurate forecasting Help Databricks to provide a positive interview experience for all and periodically review experiential data to enhance our offering and drive Diversity and Inclusion in our hiring Set the strategy for the … Private medical, dental and cash refunds for health expenses Life, disability and critical illness coverage Group personal pension with company contribution Equity awards Paid parental leave Gym reimbursement About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data More ❯

At Databricks, we truly want each of our employees to come and do the best work of their careers, and we believe our benefits programs are an essential part of our employee experience. As the Benefits Program Manager EMEA & APJ, you will partner with our teams and vendors to bring benefits programs to our employees across 19 countries and growing … Experience building and refining programs and processes that provide an exceptional employee experience within a high-growth company Experience with benefit-related laws and regulations and local laws About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data … Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet 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 ❯

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 ❯

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 ❯