1 to 25 of 160 Databricks Jobs in the UK excluding London

development, data warehousing, data lake creation, and data movement. Utilizing Azure data and analytics services, including but not limited to Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Stream Analytics, and Azure Synapse Analytics. A solid foundation in data engineering, data science, and product development, encompassing experience in both more »

person to have worked on real-time Azure projects in various commercial domains. The person will have exposure to modern data tools including Azure Databricks, Cosmos, and data integration technologies. Additional exposure to working with data science teams, and supporting machine learning activity would be highly valued. MAIN RESPONSIBILITIES Be more »

development, data warehousing, data lake creation, and data movement. · Utilizing Azure data and analytics services, including but not limited to Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Stream Analytics, and Azure Synapse Analytics. · A solid foundation in data engineering, data science, and product development, encompassing experience in both more »

Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, extensive Power BI experience Extensive experience of working with Azure Data Factory & Databricks Extensive SQL knowledge (Microsoft SQL Server 2005+) and experience working with relational databases, query authoring (T-SQL) Extensive DevOps experience Extensive experience with CI/ more »

experience in data engineering roles, preferably within a consulting firm. Proficiency in Azure data services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc. Strong understanding of ETL processes, data modeling, and data warehousing principles. Experience with programming languages such as SQL and Python. Familiarity more »

ensure data quality, and escalate technical issues as necessary. What you’ll be getting up to: Monitoring and recovery of Azure Data Factory and Databricks jobs Proactive monitoring of data quality Becoming a subject matter expert on the company's data sources and ingestion methods. Assisting in developing and adhering more »

and delivery of the strategy; Support data queries in SQL (T-SQL/ANSI-SQL) and support data pipelines using in PySpark/Python, Databricks and AWS (Athena, Glue, S3); Analyse data needs and coordinate new data requests and data change requests. Work with clients to understand their data requirements more »

Continuity processes and procedures. The Data Platform Engineer (Azure) will have the following: Understanding and detailed knowledge of Microsoft Azure DevOps, ITIL, Azure Synapse, Databricks, PowerBI, Data Factory, HD Insights, Python Sparks, and a strong IT service background. Administration of Windows Domains and Windows Server technologies Strong administration of Azure more »

Continuity processes and procedures The Data Platform Engineer (Azure) will have the following: Understanding and detailed knowledge of Microsoft Azure DevOps, ITIL, Azure Synapse, Databricks, PowerBI, Data Factory, HD Insights, Python Sparks, and have a strong IT service background. Strong administration of Windows Domains and Windows Server technologies Strong administration more »

working with Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, Power BI Extensive experience of working with Azure Data Factory & Databricks Extensive SQL knowledge (Microsoft SQL Server 2005+) and experience working with relational databases, query authoring (T-SQL) Microsoft SQL server Integrated Services (SSIS) including ETL … working with Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, Power BI Extensive experience of working with Azure Data Factory & Databricks Extensive SQL knowledge (Microsoft SQL Server 2005+) and experience working with relational databases, query authoring (T-SQL) Microsoft SQL server Integrated Services (SSIS) including ETL more »

Proven experience working in industry as an Azure Data Engineer and/or BI Developer.Proficiency in Azure data tools such as Data Factory, Synapse, Databricks, SQL, Data Lake or Delta Lake.Strong data engineering and data modeling skills, with the ability to craft complex data models.In-depth understanding of Azure SQL more »

data proficiency Thorough understanding of data lake and data warehousing principles and full project involvement in one or more major technology platforms, e.g. Snowflake, Databricks Proven experience with one or more Cloud Services provider, e.g. AWS, Azure or Google Cloud Platform. Good understanding of role-based access control, its importance more »

bring your knowledge and experience of Azure data processing services to our platform, this will include some of the following: Data factory, Data Share, Databricks, Event hubs and Stream analytics to build data ingestion and processing pipelines that deal with highly confidential data securely and efficiently advise and assist with more »

teams to enhance the advanced analytics user experience and design the architecture for the future. Build and train Machine Learning models using Azure and Databricks technologies Ability to work with ambiguity (e.g., imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs Keep up-to more »

teams to enhance the advanced analytics user experience and design the architecture for the future. Build and train Machine Learning models using Azure and Databricks technologies Ability to work with ambiguity (e.g., imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs Keep up-to more »

to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on more »

to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on more »

and unit-tested python ETL processes to read, transform, and verifying data using tools such as SQL and PySpark Cloud technologies and architecture including Databricks, Kubernetes, Data/Delta Lake, Azure Machine Learning, Data Factory. Azure is preferable, but AWS and GCP experience is welcome Familiar with all parts of more »

development, data warehousing, data lake creation, and data movement. Utilizing Azure data and analytics services, including but not limited to Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Stream Analytics, and Azure Synapse Analytics. A solid foundation in data engineering, data science, and product development, encompassing experience in both more »

data science and analytics team in deploying pipelines. Coach and mentor the team to improve development standards. Key requirements: Strong hands-on experience with Databricks, Spark, SQL or Scala. Proven experience designing and building data solutions on a cloud based, big data distributed system (AWS/Azure etc.) Hands-on more »

data processing and integration. Collaborating cross-functionally to translate complex data requirements into actionable technical solutions that drive business objectives. Leveraging Microsoft Azure and Databricks to architect robust data solutions, prioritizing performance optimization for enhanced operational efficiency. Conducting data modeling, profiling, and quality assessments to uphold the integrity and reliability more »

to optimise workflows and analysis for map reduce processing Experience with BI software (Power BI, Tableau, Qlik Sense) Any experience with data engineering, PySpark, Databricks, Delta Lakes beneficial Confident presenting complex problems in ways suitable to target audience Experience leading or managing a small analysis team Familiarity working in an more »

to optimise workflows and analysis for map reduce processing Experience with BI software (Power BI, Tableau, Qlik Sense) Any experience with data engineering, PySpark, Databricks, Delta Lakes beneficial Confident presenting complex problems in ways suitable to target audience Experience leading or managing a small analysis team Familiarity working in an more »

use the data to make better and more informed decisions - Have experience of Databases (ideally SQL Server) and tools such as Python or Azure DataBricks The role is offered on a hybrid basis with travel to one of the core offices once a week - this can be Chorley in Lancashire more »

demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AxoWS/Oracle cloud, R, Python. Additional Information Location: This role can be delivered in a hybrid nature from one of these more »