1 to 25 of 132 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 »

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 »

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 »

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 »

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 »

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 »

for 5 or more consecutive years Demonstrated experience in data architecture or similar role Practical experience across a variety of platforms and languages i.e. Databricks, Snowflake, Azure, AWS, Oracle Cloud, R, Python or similar Understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines more »

for 5 or more consecutive years Demonstrated experience in data architecture or similar role Practical experience across a variety of platforms and languages i.e. Databricks, Snowflake, Azure, AWS, Oracle Cloud, R, Python or similar Understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines more »

/Cosmos) Knowledge of data governance and modern concepts e.g., data mesh and data lake houses Knowledge of data science and ML platforms e.g., Databricks, Vertex, Fabric Applicants must be within commutable distance of Llandysul for 3 days a week working in office (working 2 days a week at home more »

Azure Head of Data Engineering Salary- £90,000 - £110,000 + Excellent benefits Location - Birmingham/Hybrid Key skills - Azure - Databricks - Data factory - Data Lakes - Synapse - Modelling - Agile Role purpose: We are actively seeking a dynamic professional to play a pivotal role in the organisation and contributing to the exciting … business reporting requirements. You will be responsible for overseeing all aspects of data engineering, from strategy to implementing cutting-edge technologies like Microsoft and Databricks and will enjoy being hands-on. Collaborating with leaders in the business, Analytics, Data Governance, Data Science and AI, you will be instrumental in reshaping … hands-on. Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. Work with colleagues to establish and enforce best practices for data architecture, data more »

high-quality data outcomes via modern data sourcing, integration and modelling techniques. Youll gain exposure to a wide range of modern technology (e.g. Snowflake, Databricks, Spark) and be continually learning. Requirements of the Data Engineer: Strong experience with data analysis, data modelling (Kimball) and governance, with excellent analytical and problem more »

undergoes a complete greenfield re-architecture from the ground up in Microsoft Azure. The Tech you'll be playing with: Azure Data Factory Azure Databricks PySpark SQL DBT What you need to bring: 1-3 year's experience in building Data Pipelines SQL experience in data warehousing Python experience would more »

with internal senior stakeholders and board members to help design business strategy. Skills & Qualifications Strong knowledge of Azure Cloud Data platform, experience working with Databricks, Azure Data Factory and SQL Server. Experience of Python and Terraform would be beneficial. Strong stakeholder management and great communication skills to build upon and more »