1 to 25 of 301 Databricks Jobs

and best practices, promoting their reuse and ensuring they are adopted. About you Strong technical expertise using core Microsoft Azure data technologies: Data Factory, Databricks, Data Lake, Azure SQL, Synapse, Data Catalog , Purview A strong background in Python development, particularly for data engineering, and SQL Experience working with Power BI more »

to running/maintaining ML models and MLOps is preferred. Experience with Big Data technologies and Distributed Systems such as Hadoop, HDFS, HIVE, Spark, Databricks, Cloudera. Experience with data lake formation and data warehousing principles. Experience with Datamodelling, Schema design and using semi-structured and structured data. Understanding of file more »

of these technologies: Power BI Power Platform Blob storage Fabric Synapse Azure Data Factory (ADF) IOT Hub SQL Server Azure Data Lake Storage Azure Databricks Purview Python If you love data, if you are passionate and if you are an excellent communicator then we'd love to hear from you. more »

interface, back oce tooling and third-party plug-ins. You will be working with the very latest technologies from our partners at Amazon, Google, DataBricks, BigEye, Tableau, etc. and will be required to have prior experience in developing cutting edge, big data applications. Key Responsibilities Enhance and grow the integration more »

interface, back oce tooling and third-party plug-ins. You will be working with the very latest technologies from our partners at Amazon, Google, DataBricks, BigEye, Tableau, etc. and will be required to have prior experience in developing cutting edge, big data applications. Key Responsibilities Enhance and grow the integration more »

and Analysis Services. Experience of Microsoft PowerBI/Fabric. Experience of tools such as MySQL and NoSQL databases Experience with Microsoft SSIS. Experience with Databricks for data engineering tasks, including job scheduling, data ingestion, and data export. Experience working within a DevOps environment. Experience with CI/CD & Automation. Background more »

Senior Azure Databricks Engineer - Energy trading - 850£/d - Inside IR35 - London - Hybrid Our client, a national energy trading company, is looking for a Senior Azure Cloud Databricks Engineer to work on a contract basis in London. As an Azure Cloud Databricks Engineer, you will focus on developing energy trading … Trading (EM&T) business requirements. This position offers the opportunity to join a dynamic development team working on cutting-edge platforms built on Azure Databricks and Microsoft Azure Cloud Stack. The candidate will actively contribute to the rollout of platforms, enhancing the capabilities of EM&T business functions. Essential: Experience … experience in Azure Cloud Data Engineering with Azure Databricks. Expertise in Energy Markets, particularly in Trading, Credit, and Market Risk functions. Proficiency in Azure Databricks, including knowledge of PySpark clusters. Experience with Databricks Workflows and Unity Catalog setups for unified governance in a multi-domain environment. Exposure to Data Points more »

as working on building out the new Azure Data Platform. With a focus on Azure data lake, azure data factory, Azure synapse and Azure Databricks and wider automation, as the journey kicks off. Key skills: Modern Data Engineering background - 3 years minimum commercial experience SQL coding SQL Server Datawarehousing Data more »

Lead Data Analytics Consultant -MSBI Azure Microsoft Business Intelligence Azure, Synapse, DataBricks, ADF, T-SQL, MSBI,Power BI £70,000 - £90,000 p/a + Bonus + Benefits This is a very exciting opportunity to join a global MicrosoftGold partner. They provideoffers remote working, allowing youto work from homewith more »

data pipelines and ETL processes to move and transform data from different sources into Azure Synapse Analytics. Use tools like Azure Data Factory, Azure Databricks, or other relevant technologies for this purpose. Establish strong data governance practices by incorporating data lineage, metadata management, data quality monitoring, and access controls. Regularly more »

Azure DevOps. Fully conversant with big-data processing approaches and “schema-on-read” methodologies is a must and knowledge of Azure Data Factory/DataBricks/Azure Data Lake/Azure DW/Analysis Services is highly preferred. Understanding AWS and GCP cloud platforms is a plus. Experience of the more »

architect the solutions. Key Skills: Strong experience leading teams of engineers. Experience owning and developing big data solutions using Hadoop, Hive/Hbase, Spark, Databricks, ETL/ELT. Agile practices. Designing for testability, deployability and releaseability. Rapid prototyping, data modeling, and decentralized innovation. DataOps mindset. Create and maintain Architectural roadmap. more »

Commercial experience in the implementation of Power BI Commercial experience in the Azure Data Platform (Azure Data Factory, Azure Data Lake storage, Azure Synapse, Databricks, Azure SQL etc) A strong pedigree in SQL ideally across the full stack (SSIS/SSRS/SSAS) Ability to model and transform data, build more »

GCP would be of added benefit) Experience of using technologies such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services, Databricks and Power BI (or equivalent technologies within AWS or GCP stack) Experience of implementing centralised data repositories and/or Data warehouses Benefits Competitive starting more »

data warehouse on Azure cloud platform and on-prem SQL servers. Good knowledge of data modelling, database design, ETL, Azure (ADLS, ADF, ADB, Synapse, Databricks) and Microsoft BI Stack. Proficiency in data warehousing, ETL processes, and data modeling. Strong programming skills in languages like Python, Java, or Scala. Extensive knowledge more »

Required skills: Experience working as a Data Engineer with Azure Cloud Platform. Hands-on experience with Python and SQL. Ideally experienced with Databricks and Synapse or equivalent tools in AWS/GCP. Experience in designing, developing, and maintaining data warehouse environments. Agile or DevOps methodology. Excellent communication skills, both written more »

work with a growing team, sharing responsibility for tasks and delivering on Sprint methodology. We desire a candidate with: · Experience delivering cloud solutions using Databricks, Delta Tables, ADLS, Azure Data Lake. · Strong coding skills in Python/PySpark · Able to create and run unit and integration tests throughout the development more »

the Data Framework for metadata driven ingestion into the Azure Data Platform. What you'll need to succeed Azure Data Services (including Data Factory, Databricks, Synapse Analytics, Data Lake) Microsoft BI experience (one or more of SSAS, SSRS, Power BI and other Power Platform) SQL including T-SQL (Queries, views more »

Analytics Solution Architect -MSBI Azure Microsoft Business Intelligence Azure, Synapse, DataBricks, ADF, T-SQL, MSBI,Power BI £85,000 - £105,000 p/a + Bonus + Benefits Thisglobal Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation are looking to more »

data warehouse on Azure cloud platform and on-prem SQL servers. Good knowledge of data modelling, database design, ETL, Azure (ADLS, ADF, ADB, Synapse, Databricks) and Microsoft BI Stack. Proficiency in data warehousing, ETL processes, and data modeling. Strong programming skills in languages like Python, Java, or Scala. Extensive knowledge more »

data warehouse on Azure cloud platform and on-prem SQL servers. Good knowledge of data modelling, database design, ETL, Azure (ADLS, ADF, ADB, Synapse, Databricks) and Microsoft BI Stack. Proficiency in data warehousing, ETL processes, and data modeling. Strong programming skills in languages like Python, Java, or Scala. Extensive knowledge 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 »

and responsibilities of a data engineer include working closely with IT to aid data availability through the SZC Data lake, using ETL techniques through Databricks to manipulate data for use in Power BI by data analysts and BI developers within the team. Ensuring quality and efficiency of data architecture within more »

following knowledge, skills and experience: Insurance/financial services domain knowledge. Expertise in at least two of these key technologies: Azure, Azure Data Lake, Databricks, Matillion, Snowflake and PowerBI. Event-driven architecture, including Lambda. Analytical system data architecture and ETL design experience. Sound understanding of dimensional data modelling. Experience in more »

like Sales Cloud, Service Cloud or any Industry Clouds Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and more »