101 to 125 of 551 Databricks Jobs in England

solutions, from envisioning through to engineering, evaluation and evergreening. An Azure background in either Software Development (e.g. C#, Kubernetes, App Services, Functions, Python, etc) or Data Platform (Microsoft Fabric, Databricks, Python, etc) , combined with Generative AI experience. Able to consult, advise, architect, and estimate project work. Strong analysis, requirements gathering and solution modelling. Solid engineering experience in python, SQL, and 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 ❯

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 ❯

policy documents, etc). Enable the collection of new data and the refinement of existing data sources. Help manage day to day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated tech across various platforms. Coordinate and manage small to medium sized machine learning projects in small cross functional squads. What wed like to see 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 ❯

data streaming and event-driven architectures, with a focus on Kafka and Confluent platforms. In-depth knowledge in architecting and implementing data lakes and lakehouse platforms, including experience with Databricks and Unity Catalog. Proficiency in conceptualising and applying Data Mesh and Data Fabric architectural patterns. Experience in developing data product strategies, with a strong inclination towards a product-led approach 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 ❯

identify issues, root cause analysis and implement both temporary and permanent solutions Automation Expérience Excellent Communication Skills Understanding of AKS, Snowflake, No sql db (Cosmos), Understanding of Azure ecosystem, Databricks, Unix, Git bash commands, ADO (Azure Devops) - deployment pipelines Good to have skills Workingknowledge of infrastructure components (e.g. routers, load balancers, cloud products, container systems, compute, storage, and networks). More ❯

uncover opportunities, and recommend actions that improve business performance and cost efficiency. Develop and Maintain Strategic Data Models: Build scalable, well-documented data models using tools like dbt and databricks to support transparency and accuracy in tracking core KPIs. Ensure models are robust, maintainable, and aligned with evolving business needs. Deep Dive into Company Performance: Collaborate closely with cross-functional More ❯

AWS Glue, Azure Data Factory, or Google Cloud Dataflow Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions We'd love to talk to you if: You've got solid experience working 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 ❯

Data Science or equivalent experience (Mathematics, Statistics, Information Science, Computer Science, ML, AI, Bioinformatics or similar) Demonstrated experience in product ownership and stakeholder management. Demonstrated experience with Azure stack (databricks, AMLS, etc.) Knowledge of the data landscape in healthcare (EHR, claims data, real world data, HEOR data) Experience in healthcare/pharmaceutical industry Experience in sales and digital marketing analytics More ❯

Azure Synapse Analytics for data warehousing and big data analytics Azure data lake Gen1/Gen2 Azure Data factory for ETL/ELT, hybrid data integration and pipelines Azure Databricks for data processing and analytics Azure CosmosDB, Azure Table Storage and Azure Blob Storage Microsoft Fabric Azure Purview for data governance among others. Proven experience in designing, implementing and integrating 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 ❯

to learn new technologies, especially in BI Desirable Experience of working with Microsoft's BI technology stack SSIS, SSRS and/or SSAS (tabular and multidimensional models), ADF, Azure Databricks Experience working with BI presentation tools (e.g. Excel, Power Pivot, Power View and Power BI) Experience working with BI reporting in SharePoint Experience working with finance systems Non-profit sector 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 ❯

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 ❯