101 to 125 of 376 Databricks Jobs in the UK

users in line with security standards Qualifications Experience in a data, operations, or analytics-focused role Familiarity with BI and reporting platforms such as Power BI, Datorama, Data Studio, Databricks, SQL Strong communication skills and a collaborative, solutions-focused mindset An organised, proactive approach-comfortable working across teams and timelines Excitement for new technology, data storytelling, and digital marketing innovation More ❯

engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data … RESPONSIBILITIES Data Pipeline Development: Lead the design, implement, and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of data from various sources using tools such as databricks, python and pyspark. Data Architecture: Architect scalable and efficient data solutions using the appropriate architecture design, opting for modern architectures where possible. Data Modeling: Design and optimize data models and … or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines, version control systems like Git, and containerization (e.g., Docker). Experience More ❯

data visualisation skills (any tool – the team use Power BI). A track record of turning data into insight — your CV should show clear, tangible examples. Bonus points for: Databricks and/or Python experience (these will make you stand out). A background in finance or retail . If you love digging into data, working with commercial teams, and More ❯

data visualisation skills (any tool – the team use Power BI). A track record of turning data into insight — your CV should show clear, tangible examples. Bonus points for: Databricks and/or Python experience (these will make you stand out). A background in finance or retail . If you love digging into data, working with commercial teams, and More ❯

data visualisation skills (any tool – the team use Power BI). A track record of turning data into insight — your CV should show clear, tangible examples. Bonus points for: Databricks and/or Python experience (these will make you stand out). A background in finance or retail . If you love digging into data, working with commercial teams, and More ❯

multiple teams. This role falls outside IR35 and will require some travel to client sites. The chosen candidate will have experience in AWS, Azure and a strong knowledge of Databricks (ideally with some fabric exposure too). Key Responsibilities Lead the design and optimisation of scalable data architectures across cloud platforms. Drive the development of high-performance data pipelines and More ❯

Strong proficiency in SQL scripting, including writing and executing complex queries. Hands-on experience with structured and unstructured data testing. Good understanding of Azure data services , including Data Factory, Databricks, Synapse (Azure SQL DW), Cosmos DB, and Azure Data Lake. Knowledge of data testing concepts and best practices within data warehouse environments. Hands-on experience with Python/PySpark scripting More ❯

scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001). Ensure data governance, particularly around More ❯

scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001). Ensure data governance, particularly around More ❯

scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001). Ensure data governance, particularly around More ❯

including 4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid More ❯

including 4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid More ❯

warehouses). Desirable Awareness of cloud-based platforms (eg, Azure) and their implications for data and application strategy. Familiarity with data warehousing solutions or modern analytics stacks (eg, Snowflake, Databricks). Understanding of information security best practices and regulatory frameworks (eg, GDPR, ISO 27001). Knowledge of ITIL practices or service management frameworks. Your Experience We are looking for someone More ❯

and strategy documentation Run quality assessments of counterparts design Adhere to the organisations Release and Change process The individual: Expert knowledge of authoring/troubleshooting SQL/Azure/Databricks queries Expert knowledge and application of general and tool specific connectivity, data modeling, source data procurement strategies (Database, import/cached), security configuration, performance tuning, usage of right visuals, layout More ❯

and strategy documentation Run quality assessments of counterparts’ design Adhere to the organisations Release and Change process The individual: Expert knowledge of authoring/troubleshooting SQL/Azure/Databricks queries Expert knowledge and application of general and tool specific connectivity, data modeling, source data procurement strategies (Database, import/cached), security configuration, performance tuning, usage of right visuals, layout More ❯

teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering the right More ❯

teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering the right More ❯

teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering the right More ❯

Proven experience as a Product Owner, Delivery Lead, Data Analyst or similar role in a data focused environment. Strong understanding of Data manipulation and MI/reporting tools (e.g. Databricks, Tableau, PowerBI, SQL). Familiarity with cloud services platforms, preferably AWS and Microsoft Azure. Able to clearly communicate your findings to a business audience and challenge colleagues on taking data More ❯

new technologies Experience in startups or top-tier consultancies is a plus Nice to Have (not essential): Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per week in a More ❯

new technologies Experience in startups or top-tier consultancies is a plus Nice to Have (not essential): Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per week in a More ❯

SQL fundamentals The ability to get to grips with new technologies quickly What's Nice to Have Experience in dashboarding tools, Typescript and API development Familiarity with Airflow, DBT, Databricks Experience working with Enterprise Resource Planning (e.g. Oracle, SAP) and CRM systems Benefits Become part of a category-defining startup which transforms transforming how industrial companies operate and compete Close More ❯

demo purposes as well as present to customers. Experience with SQL, databases and scripting languages like LUA. Experience with AI, BI and analytics technologies like Power BI, Tableau, Snowflake, Databricks etc. highly desirable. Fast learner with a desire/motivation to learn cutting-edge new technologies. A team player with the ability to relate to customers and maintain good working More ❯

contributing effectively as part of a multi-disciplinary team. Beneficial: Awareness of UX principles and best practices in dashboard design. Experience querying or connecting to cloud data platforms (e.g. Databricks, Snowflake). A degree in a numerate discipline. What You`ll Get in Return A discretionary annual bonus so you can share in the company`s success 25 days` paid More ❯

team and an Insights team, recognising the importance of close collaboration of data teams to quickly and efficiently deliver business value. Our cloud-based technology stack builds on Azure Databricks to ensure data is reliably and easily available to the business and creates value. As we continue to grow, we are moving towards a group data platform and are looking More ❯