1 to 25 of 152 Remote Databricks Jobs in the UK

Data Analyst Associate. Technology Stack & Skills: Utilize Microsoft Azure as the primary platform. Engage with data engineering tools such as Data Factory, Data Flow, Databricks, ADLS Gen 2, Azure SQL, Synapse, and Analysis Services. Develop and manage reporting solutions using Power BI. Apply development and scripting skills with SQL, DAX more »

Azure, AWS, or GCP). * Solution Architecture: Design and build large-scale data solutions, including data lakes, lakehouses, and warehouses, using technologies such as Databricks, Snowflake, Azure Synapse, or Azure Fabric. * ETL/ELT Tooling: Utilise ETL/ELT tools like SSIS, Azure Data Factory (ADF), Informatica, and IBM DataStage more »

Data Analyst Associate. Technology Stack & Skills: Utilize Microsoft Azure as the primary platform. Engage with data engineering tools such as Data Factory, Data Flow, Databricks, ADLS Gen 2, Azure SQL, Synapse, and Analysis Services. Develop and manage reporting solutions using Power BI. Apply development and scripting skills with SQL, DAX more »

crucial role in making these capabilities a reality for the business. Key skills: Azure Data Engineering background Azure Data Factory, Azure Synapse, Power BI Databricks CI/CD - Data pipelines deployments SQL Server/Azure SQL SQL/Python Writing ETL pipelines within Azure environment Production support skills This is more »

Data Management: MongoDB, Cassandra/ScyllaDB Data Integration: Kafka, Kafka Streams, Java, APIs (GraphQL) Data Analytics Applications: Data Management: Teradata, Azure Data Lake, Snowflake, Databricks Data Modelling: Dimensional Modelling, Kimball Design Data Integration: IBM DataStage, SQL, Azure Data Factory, AWS Glue Batch Orchestration: TWS/OPC, JCL Data Visualization: Power more »

Data Management: MongoDB, Cassandra/ScyllaDB Data Integration: Kafka, Kafka Streams, Java, APIs (GraphQL) Data Analytics Applications: Data Management: Teradata, Azure Data Lake, Snowflake, Databricks Data Modelling: Dimensional Modelling, Kimball Design Data Integration: IBM DataStage, SQL, Azure Data Factory, AWS Glue Batch Orchestration: TWS/OPC, JCL Data Visualization: Power more »

on the technical development of greenfield solutions to MVP demonstrations Technical Skills: Python Required: Proficient in pandas, numpy and sklearn. Desired: Professional experience with Databricks, PySpark, Cloud deployment, CI/CD and Git. Required: Proficient in creating E2E pipelines to train ML models including EDA, Feature Engineering, Model Selection, Parameter more »

knowledge of writing codes, building data pipelines and doing transformation and ingestion in a a certain tech suite. Extensive experience in implementing solutions around Databricks, Azure Data Factory, Azure SQL, CosmosDB, In depth understanding of database structure principles, Strong knowledge of database structure systems and data mining, Excellent understanding of more »

Azure Data Factory SQL Server Analysis Services (SSAS) SQL Server Integration Services (SSIS) SQL Server Reporting Services (SSRS) Data Vault Microsoft Fabric PySpark/Databricks Azure Synapse Azure Data Lake Data migration experience My client have very limited interview slots and they are looking to fill this vacancy within the more »

appreciate the challenges. You have written RESTful APIs and/or Webapps. You have implemented "Big Data" processing setups (e.g. Hadoop/Spark ecosystem, DataBricks, Cassandra etc.) You can code to an advanced level in Python. You are competent at coding in VBA. You have experience/education within Energy. more »

business ambassadorsSkills & ExperiencesProven expertise in cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.In-depth knowledge of cloud-native data services (e.g., Databricks, Snowflake, Microsoft Fabric, AWS Redshift).Strong understanding of data modelling (relational, dimensional, NoSQL) and ETL/ELT processes.Experience with data integration tools (e.g., Apache Kafka 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 »

at communicating results in a concise manner both verbally and written Desirable Hands-on experience in the cloud platform and tools (i.e. Azure, AWS, Databricks) Insurance or financial services experience Knowledge and awareness of the latest tools, techniques and technology across the analytics marketplace Behaviours: Team player Self-motivated with more »

and more. Experience with A/B testing and other experimentation methods to validate model performance and business impact. Experience with cloud platforms (AWS, Databricks, Snowflake), containerisation tools (Docker, Kubernetes), and CI/CD pipelines. Strong problem-solving skills, creativity, and attention to detail. Excellent communication skills with the ability more »

the Data Platforms Engineering team, utilising cutting-edge Cloud technology within Microsoft Azure to enhance our Enterprise Data Lakehouse platform. Using tools such as Databricks, Python, and Terraform, you'll design and develop key platform functionality and data analytics solutions. Expect a hands-on experience where you'll contribute significantly more »

the latest in cloud and data technologies. Desired experience and proficiencies: Proven expertise in designing and delivering data platforms on Azure (Data Factory, Synapse, Databricks, etc.). Strong knowledge of Microsoft Fabric and modern data warehousing techniques. Exceptional ability to engage with stakeholders, translating business needs into technical solutions. A more »

modelling and a knowledge of general IT architecture and systems integration. You will also possess skills in other technologies such as Azure Data Factory, Databricks, RedShift, Informatica, Oracle, Tableau, PowerBI, Qlik or similar and will be keen and open-minded to learn new skills. A self-starter, you will bring more »

data pipeline testing, from source to presentation layer including troubleshooting skills It would be beneficial to have: Experience with Azure services such as ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Azure Functions, and Serverless Architecture Familiarity with the Microsoft Power Platform (PowerApps, Power Automate, PowerFx, Azure Logic Apps, and more »

advanced analytics techniques, including modeling and segmentation. * Strong expertise in visualization tools, with a preference for Tableau. * Experience in leveraging cloud platforms, such as DataBricks, for building data pipelines. * Familiar with Git or similar version control systems, adept in using branches and pull requests for collaborative development. * Exceptional communication and more »

advanced analytics techniques including modelling, and segmentation Strong experience with visualisation tools, preferably Tableau Experienced working with cloud platforms, to build data pipelines, ideally DataBricks Experience with Git, or similar, using branches and pull requests for collaborative development Excellent communication and presentation skills with the ability to engage non-technical more »

advanced analytics techniques including modelling, and segmentation Strong experience with visualisation tools, preferably Tableau Experienced working with cloud platforms, to build data pipelines, ideally DataBricks Experience with Git, or similar, using branches and pull requests for collaborative development Excellent communication and presentation skills with the ability to engage non-technical more »

advanced analytics techniques including modelling, and segmentation Strong experience with visualisation tools, preferably Tableau Experienced working with cloud platforms, to build data pipelines, ideally DataBricks Experience with Git, or similar, using branches and pull requests for collaborative development Excellent communication and presentation skills with the ability to engage non-technical more »

advanced analytics techniques including modelling, and segmentation Strong experience with visualisation tools, preferably Tableau Experienced working with cloud platforms, to build data pipelines, ideally DataBricks Experience with Git, or similar, using branches and pull requests for collaborative development Excellent communication and presentation skills with the ability to engage non-technical more »

advanced analytics techniques including modelling, and segmentation Strong experience with visualisation tools, preferably Tableau Experienced working with cloud platforms, to build data pipelines, ideally DataBricks Experience with Git, or similar, using branches and pull requests for collaborative development Excellent communication and presentation skills with the ability to engage non-technical more »

advanced analytics techniques including modelling, and segmentation Strong experience with visualisation tools, preferably Tableau Experienced working with cloud platforms, to build data pipelines, ideally DataBricks Experience with Git, or similar, using branches and pull requests for collaborative development Excellent communication and presentation skills with the ability to engage non-technical more »