51 to 75 of 225 Databricks Jobs in the UK excluding London

Notebooks, Power BI). Lead and manage the QA effort across multiple agile teams. Drive the development and maintenance of automated testing for: 1-PySpark notebooks in Fabric/Databricks 2-Data pipelines and transformations 3-Delta tables and lakehouse validation Embed testing into CI/CD pipelines (Azure DevOps or GitHub Actions). Ensure quality gates are enforced through More ❯

problems we can help solve together. Knowledge & experience needed: Excellent ability in R or Python, to write clear, logical, documented code as data solutions Experience working with Azure (Cloud), Databricks Experience working with real-world data, including spatial data Understanding of data product development frameworks Highly numerate with excellent analytical and problem-solving skills, including experience of analysing and accurately More ❯

Preferred Qualifications Exposure to machine learning workflows, model lifecycle management, or data engineering platforms. Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). Familiarity with banking or financial domain use cases, including data governance and compliance-focused development. Knowledge of platform security, monitoring, and resilient architecture patterns. More ❯

closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and More ❯

closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and More ❯

identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Hands-on experience in the cloud platform and tools (i.e. Azure, AWS, Databricks) Insurance or financial services experience Knowledge and awareness of the latest tools, techniques and technology across the analytics marketplace Behaviours: Team player Self-motivated with a drive to learn and More ❯

identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Hands-on experience in the cloud platform and tools (i.e. Azure, AWS, Databricks) Insurance or financial services experience Knowledge and awareness of the latest tools, techniques and technology across the analytics marketplace Behaviours: Team player Self-motivated with a drive to learn and More ❯

data security (e.g. RLS); other reporting tools a bonus. Strong background in data analytics, modelling, and pipeline development, with hands-on proficiency in SQL, Python, and cloud platforms (Azure, Databricks, etc.). Demonstrated ability to work closely with stakeholders to translate business needs into actionable insights, user stories, and high-impact reporting solutions. Must thrive in Agile environments, with a 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to More ❯

as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to More ❯

storage solutions, model training/monitoring and ML inference services - Proficiency in creating and optimizing high-throughput ETL/ELT pipelines using a Big Data processing engine such as DataBricks Workflows, Spark, Flink, Dask, dbt or similar - Experience building software and/or data pipelines in the AWS cloud (SageMaker Endpoints, ECS/EKS, EMR, Glue) Why Proofpoint Protecting people More ❯