1 to 25 of 143 Databricks Jobs in the UK with Remote Work Options

and develop the analytical infrastructure, including cloud data warehouses, data lakes, ETL/ELT pipelines, and workflow automation tasks. Utilize advanced tools like Snowflake, Databricks, Fivetran, and dbt, and gain certifications to validate your expertise. Code in SQL, Python, and Spark, adhering to software engineering best practices such as version more »

Data Engineers. Providing Technical guidance to Data Engineers Knowledge, Experience and qualifications Excellent level of knowledge & experience in Azure Data, including DataLake, Data Factory, DataBricks, Azure SQL (Indicative experience = 5yrs+) Build and test processes supporting data extraction, data transformation, data structures, metadata, dependency and workload management. Knowledge on Spark architecture 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 »

or more of the following Azure data services (ADS): Azure Data Factory, Azure Data Lake Store and Azure Data Lake Analytics with uSQL, Azure Databricks, Azure SQL DB and Azure SQL DW/Azure Synapse Analytics, Azure Analysis Services with DAX, etc... Power BI data visualization (Power BI Desktop, Power more »

problems and translate them into technology solutions. Explore and analyse data from various sources and formats using tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML more »

activities Lunch allowance for use within our subsidized onsite canteen Must have skills Working knowledge of Azure DevOps (Git, build and release pipelines), Python, databricks, and snowflake as a requirement. Nice to haves are: PowerBI, and Attunity Replicate Application development, database development and/or python scripting experience Must have more »

and Python, with knowledge of data warehousing and big data frameworks. * Familiarity with technologies such as Airflow, Talend, AWS services, and visualization platforms like Databricks and Tableau. * Experience with testing, versioning, and documentation tools. * A bachelor's or master's degree in Computer Science, Software Engineering, or a related field. more »

on the Azure side, you will learn about and use data services such as Azure SQL, Synapse Analytics, Azure Data Factory, Azure Data Warehouse, Databricks, Bicep & PowerBI. About You: You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services and platforms. You more »

Kimball & inmon, and hybrid data warehouse design. Cloud data products such as: Data factory Events Hubs Data Lake Synapse Azure SQL Server Experience developing Databricks and coding with PySpark and Spark SQL. Proficient in ETL coding standards Data encryption techniques and standards Knowledge of relevant legislation such as: Data Protection 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 »

a wide variety of corporate structured and unstructured sources, 3rd party providers and publicly available data. Leverage cloud data processing frameworks like Apache Spark, Databricks, or similar for handling, processing and analysing complex, high-volume data both structured and unstructured. Ability to script repetitive data tasks in an explainable and more »

warehouse design Detailed knowledge using cloud data products like Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server. Detailed knowledge in developing in Databricks and experience in coding with PySpark. Spark SQL ETL coding standards: ensuring that code is standardised, self-documenting and can be reliably tested Knowledge of more »

management expertise. Familiarity with modern data processing technologies (data lakes, warehouses, reporting tools). Knowledge of Microsoft Azure data and analytics tools (including Azure Databricks). Role Highlights: Hands-On Impact: Dive into data, collaborating directly with cross-functional teams to deliver critical information. Analytical Skills: Design repeatable reports and 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 »

Proven Experience: You have a track record in Data Architecture and Data Engineering. Azure Proficiency: You’re proficient across Azure Data Factory, Synapse/Databricks, and Azure Data Lake. Azure Analytics: You possess good knowledge of Azure Analytics, Stream Analytics, Event Hubs, and more. Future-Ready: You’re passionate about more »

experience with Python, Spark & SQL. Experience or exposure to Microsoft Fabric. Outstanding communication skills and proven ability to manage internal stakeholders. 💻 Tech stack : Azure, Databricks, Python, Spark, Pyspark, SQL, Azure, Fabric This will be a two-stage interview process, candidates will work hybrid with an expectation to come to the more »

using Azure AI services for various use cases. Integrating Azure AI services with other Azure products and services, such as Azure Machine Learning, Azure Databricks, Azure App Service, and Azure Cognitive Search. Enabling data capture, ingestion, processing, and storage to serve AI and analytics using Azure technologies Optimising the performance more »

technical stakeholders. Ideally you will be familiar with technologies such as Airflow, Talend, AWS Lambda, Redshift, S3, and analytics/visualisation platforms such as Databricks and Tableau. #dataengineering #datalead #teamlead #dataengineeringmanager #datatrasnformation #datadevelopment #python #sql #analytics #aws Please get in touch for more details more »

options. Skills & experience required: Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around Azure Extensive experience in implementing solutions around DataBricks, Azure Data Factory, Azure SQL, CosmosDB, Cognite Services, Storage Accounts, Azure Service bus, Azure Functions, Event Hub, Synapse and Azure Purview. Excellent understanding of Microsoft more »

ongoing support and maintenance. Why should you work at Microsoft Business Group? Multi Award Winning Business Official and Award-Winning Microsoft Partner Award Winning Databricks Partner Official GitHub Partner Cloud Native Organisation Growing International and Diverse teams Hugely collaborative environment, where ideas and knowledge sharing are actively encouraged Private Medical more »

ongoing support and maintenance. Why should you work at Microsoft Business Group? Multi Award Winning Business Official and Award-Winning Microsoft Partner Award Winning Databricks Partner Official GitHub Partner Cloud Native Organisation Growing International and Diverse teams Hugely collaborative environment, where ideas and knowledge sharing are actively encouraged Private Medical more »

Azure Pull together all of the separate entities data and put them into one place SQL/Python experience Must have experience in Azure Databricks Exposure to testing Understand the data lifecycle Data Analysis/Engineering experience Exposure to data modelling nice to have Power BI nice to have If more »

Azure Pull together all of the separate entities data and put them into one place SQL/Python experience Must have experience in Azure Databricks Exposure to testing Understand the data lifecycle Data Analysis/Engineering experience Exposure to data modelling – nice to have Power BI – nice to have If more »

crucial as the role is going to be client facing; you will be leading the engagements with clients, Power Platform, Strong knowledge of ADF, Databricks, ADL & Synapse, MS Stack, Data Engineering, DWH Exposure, Data GovernanceThis role is an urgent requirement, there are limited interview slots left, if interested send an more »