126 to 150 of 635 Databricks Jobs in the UK excluding London

maintaining production-grade data pipelines and data platforms Knowledge of Python, APIs, and Git Experience working with cloud platforms such as AWS, Azure, Databricks, or BigQuery Strong data modelling and warehousing expertise Ability to communicate technical concepts to both technical and non-technical stakeholders Experience leading projects, workstreams, or technical ...

knowledge of Hadoop Experience with test-driven development and CI/CD REST APIs and Kafka experience Nice to Have Hands on experience with databricks a distinct advantage Experience leading data platform migrations Experience managing delivery in large transformation programmes Experience delivering projects in regulated environments #J-18808-Ljbffr ...

substantial leadership experience, and a proven track record of designing and operating enterprise-scale data platforms. Strong experience across cloud data architecture, Snowflake/Databricks/BigQuery, SQL, Python, data modelling and modern data engineering practices is essential. Experience across AI/ML, knowledge graphs, unstructured data, SaaS or customer ...

expectations on data and AI. Exposure to data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau, Databricks, Snowflake, Microsoft Purview, Collibra, Informatica, Claude, Chat GPT, Microsoft Copilot, Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience ...

data science, analytics or business intelligence (typically 10+ years) Advanced knowledge of Python and SQL Experience working with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading ...

model evaluation, monitoring and risk management. Deep hands-on machine learning experience is not required. Exposure to tools such as Microsoft Purview, Collibra, Alation, Databricks, Microsoft Fabric, Azure ML or Power BI governance would also be useful. Experience within Defence, Central Government, hydrography, sonar, geospatial/mapping or offshore industries ...

Strong knowledge of data governance, data management, stewardship, ownership models, data quality, and metadata management. Experience working with modern cloud data platforms such as Databricks, Snowflake, Microsoft Fabric, Azure Data Lake, or similar technologies. Knowledge of data catalogues, data lineage, master data management, and data governance tooling. Experience defining business ...

Strong knowledge of data governance, data management, stewardship, ownership models, data quality, and metadata management. Experience working with modern cloud data platforms such as Databricks, Snowflake, Microsoft Fabric, Azure Data Lake, or similar technologies. Knowledge of data catalogues, data lineage, master data management, and data governance tooling. Experience defining business ...

performance. Ability to manage competing priorities and deliver to tight deadlines. Desirable Skills & Experience Experience with Python and/or R Experience working with Databricks Background within betting, gaming or other fast-paced digital consumer businesses Interest in sports, betting or racing industries Why join us? This is an excellent ...

operating an application inside a regulated or heavily restricted enterprise environment where you do not control the platform. Experience integrating applications with Teradata, Databricks, SAS, or SSH-driven jobs. Experience with React or an equivalent modern front-end framework. Experience with graph or lineage visualisation. Experience with observability and monitoring. ...

versioning and release management. Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security. Data engineering depth (Spark/Databricks; ETL/ELT); cloud‐native data + AI architectures. Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback). Consulting leadership: stakeholder, budget ...

models, queries and reports. The role requires advanced hands-on Power BI development experience, including complex semantic models and multi-stakeholder reporting. Experience with Databricks, Google Cloud Platform or Microsoft Fabric would be desirable. Governance, security and operational reliability You will establish and uphold standards covering Power BI workspaces ...

live services or digital product performance. Understanding of live revenue strategy, pricing, promotions or player lifecycle analysis. Experience working with Google Cloud Platform, BigQuery, Databricks or similar data platforms. Familiarity with Python for analysis, although this role is not expected to build production data pipelines. Understanding of statistical analysis, experimentation ...

Proficient with ETL processes (SSIS, AWS Glue, DBT) and BI tools (Power BI, Sigma, etc.) Skilled in data modelling and modern data platforms (Snowflake, Databricks, etc.) Excellent SQL and database knowledge Passionate about data, with a sharp eye for detail and quality Confident communicator, able to make complex info easy ...

Intermediate Excel and SQL skills, with the ability to interrogate data and evidence conclusions. Experience of a major programming language is beneficial. Experience with Databricks, Unity Catalog, Microsoft Purview or equivalent modern data and governance platforms. Experience with data governance, metadata, modelling or data quality tools such as Collibra, Alation ...

solutions and operations, enabling ethical, scalable, and domain-driven AI adoption. We partner with industry leaders including Oracle, Salesforce, Microsoft, AWS, Snowflake, and Databricks, delivering outcomes across sectors such as Healthcare, Financial Services, Retail, Manufacturing, Higher Education, and the Public Sector.Guided by our core values of Trust, Value, and Velocity ...

solutions and operations, enabling ethical, scalable, and domain-driven AI adoption. We partner with industry leaders including Oracle, Salesforce, Microsoft, AWS, Snowflake, and Databricks, delivering outcomes across sectors such as Healthcare, Financial Services, Retail, Manufacturing, Higher Education, and the Public Sector.Guided by our core values of Trust, Value, and Velocity ...

deployment) Proficient software development experience in one of J ava, Scala, or Python Software development experience withdata-processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools Expert in SQL or SQL extensions for analytical use case Expert understanding of distributed data stores and data processing frameworks ...

Experience designing and building data pipelines, ETL processes, and data integration solutions. Cloud Platforms: Experience with cloud data services and platforms, such as Azure, Databricks, Snowflake, or equivalent technologies. Data Modelling: Knowledge of data modelling and hands‐on experience working with both relational and non‐relational databases. IoT/Streaming ...

lifecycle management, deployment automation, experiment tracking, monitoring, governance, and machine learning pipelines. Proven experience working with cloud platforms and modern engineering practices, including Azure, Databricks, CI/CD pipelines, version control, and DevOps methodologies. The ability to design, build, deploy, and support scalable, secure, reliable, and production-grade AI solutions. ...

. Familiarity with Workday APIs, Workday Prism Analytics, and automated testing frameworks like Kainos Smart. Knowledge of data engineering and analytics platforms such as Databricks, with experience in leveraging them for scalable data processing and machine learning workflows. Active participation in knowledge sharing activities, such as conferences, blogs, or internal ...

. Familiarity with Workday APIs, Workday Prism Analytics, and automated testing frameworks like Kainos Smart. Knowledge of data engineering and analytics platforms such as Databricks, with experience in leveraging them for scalable data processing and machine learning workflows. Active participation in knowledge sharing activities, such as conferences, blogs, or internal ...

Data Analytics, Artificial Intelligence or a related field, or equivalent experience, would be effective, although practical experience is equally valuable."Nice to Have"Azure, Databricks, Apache Spark or comparable cloud and data platforms. Data pipelines, ETL and workflow-orchestration technologies. Machine-learning methods such as forecasting, prediction or classification. Experience ...

executives Commitment to inclusive, collaborative teamwork Strong problem-solving and analytical skills Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Hands-on expertise with Spark/PySpark and big data processing technologies Knowledge of open-source table formats and catalog services such ...

years post related and 2 years function related experience. Demonstrable experience of delivering data integration projects using Al and or Machine Learning Tools e.g. Databricks, Watson, Microsoft Cognitive Toolkit, TensorFlow. Demonstrable experience of using mathematical and statistical models to solve business problems. Demonstrable experience of applying data science, analytics ...