51 to 75 of 1,858 Databricks Jobs in England

scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, 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 Pipelines, Azure DevOps. Run experiments … workflows and deploying them at scale using Azure services. Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks Excellent communication, collaboration, stakeholder management, and problem-solving skills. Familiarity with the Microsoft Copilot stack. Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus Experience within More ❯

design. Experience architecting and building data applications using Azure, specifically a Data Warehouse and/or Data Lake. Technologies : Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations. ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary … with APIs and integrating them into data pipelines. Strong programming skills in Python. Experience of data wrangling such as cleansing, quality enforcement and curation e.g. using Azure Synapse notebooks, Databricks, etc. Experience of data modelling to describe the data landscape, entities and relationships. Experience with data migration from legacy systems to the cloud. Experience with Infrastructure as Code (IaC) particularly More ❯

scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, 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 Pipelines, Azure DevOps. Run experiments … workflows and deploying them at scale using Azure services. Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks Excellent communication, collaboration, stakeholder management, and problem-solving skills. Familiarity with the Microsoft Copilot stack. Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus Experience within More ❯

efficient solutions. Lead teams and projects from requirements to implementation. Identify high-value AI scenarios (Machine Learning and Gen AI). Analyze data using tools like Microsoft Fabric, Azure Databricks, Azure Synapse, and Azure Machine Learning. Implement data pipelines and workflows with Azure ML Pipelines and Azure DevOps. Monitor ML solutions using Azure ML and Application Insights. Deploy AI solutions More ❯

with BI/reporting tools such as Looker or PowerBI. Excellent communication and stakeholder management skills. Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools. Academic background in Computer Science, Mathematics, or a related technical field. What’s on More ❯

/reporting tools such as Looker or PowerBI. Excellent communication and stakeholder management skills. Desirable Experience: Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools. Academic background in Computer Science, Mathematics, or a related technical field. What’s on More ❯

with BI/reporting tools such as Looker or PowerBI. Excellent communication and stakeholder management skills. Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools. Academic background in Computer Science, Mathematics, or a related technical field. What’s on More ❯

integrating Oracle data sources within Azure environments. Excellent problem-solving and communication skills. Preferred Qualifications Experience with additional Azure services like Azure Data Lake , Azure SQL Database , or Azure Databricks . Familiarity with Infrastructure-as-Code (IaC) practices. Strong knowledge of data governance and security best practices in the cloud. Previous experience in a DevOps environment with CI/CD More ❯

applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline. Professional experience developing data solutions in cloud environments such as Azure, AWS or GCP – Azure Databricks experience a bonus. Experience with designing efficient physical data models/schemas and developing ETL/ELT scripts. Strong Python and other programming skills (Spark/Scala desirable). Experience More ❯

including data marts and visualizations in tools like PowerBI. Experience & Knowledge: Extensive experience in end-to-end cloud data solutions, preferably in Azure. Experience with big data technologies like Databricks and/or Synapse Analytics using PySpark. Solution design experience across the data lifecycle. Proficiency with Azure services such as Data Factory, Azure Functions, ADLS Gen2, Key Vault, Synapse SQL More ❯

including data marts and visualizations in tools like PowerBI. Experience & Knowledge: Extensive experience in end-to-end cloud data solutions, preferably in Azure. Experience with big data technologies like Databricks and/or Synapse Analytics using PySpark. Solution design experience across the data lifecycle. Proficiency with Azure services such as Data Factory, Azure Functions, ADLS Gen2, Key Vault, Synapse SQL More ❯

retail industry or with retail-specific data (e.g., sales, inventory, customer behaviour) is a plus. Your key accountabilities will be to: Develop and maintain data products and pipelines in Databricks, Azure Data Factory, and Azure Synapse Analytics. Communicate with stakeholders and users of our data products by understanding their problems and supporting them in their needs. Optimize data pipelines for More ❯

experience with Big Data. Must know modern cloud platforms including Azure, GCP, etc and technologies across traditional and contemporary software, with focus as below:Expert understanding: Azure Data Factory, Databricks, Spark, Azure SQL Database, Azure DevOps/Git, Data Lake, Delta Lake/Lakehouse architecture, Power BI.Working Knowledge: Azure WebApp, Azure Networking concepts.Conceptual Knowhow (nice to have): Azure AI Services More ❯

learning and Data science applications Ability to use wide variety of open-source technologies Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir and DataBricks Knowledge of test automation frameworks and ability to automate testing within the pipeline To discuss this or wider Technology roles with our recruitment team, all you need to do is More ❯

organise data for downstream use Developing foundational coding skills in Python and SQL to work with and manipulate data Gaining hands-on experience with modern data platforms like Snowflake , Databricks , and BigQuery Exploring cloud services such as AWS , Azure , or Google Cloud Platform (GCP) and their associated tools (e.g., Glue, Lambda, BigQuery, etc.) Being introduced to DataOps practices understanding how More ❯

resolve complex data-related issues Strong analytical and problem-solving skills Strong teamwork, interpersonal and collaboration skills with colleagues and clients Desirable: Experience with Cloud ETL tools such as Databricks/Snowflake, Spark and Kafka Experience using source control tools such as GitHub or Azure DevOps Experience with Azure DevOps for CI/CD pipeline development and data operations (DataOps More ❯

to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (e.g. AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (e.g. Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks. Your characteristics as a Consultant will include: • Driven by delivering quality work, with More ❯

and resolve complex data-related issues Strong analytical and problem-solving skills Strong teamwork, interpersonal and collaboration skills with colleagues and clients Experience with Cloud ETL tools such as Databricks/Snowflake, Spark and Kafka Experience using source control tools such as GitHub or Azure DevOps Experience with Azure DevOps for CI/CD pipeline development and data operations (DataOps More ❯

About HSO: HSO are a leading member of the Microsoft Dynamics Inner Circle, founded in 1987, and specialize in sectors such as Retail, Manufacturing, Professional Services, Financial Services and Local Government. We've won several prestigious awards over the last More ❯

Join to apply for the Senior Data Analytics Developer role at Coveo Join to apply for the Senior Data Analytics Developer role at Coveo Are you the expert who transforms data into strategic insights to drive our success? As a More ❯

About HSO: HSO are a leading member of the Microsoft Dynamics Inner Circle, founded in 1987, and specialize in sectors such as Retail, Manufacturing, Professional Services, Financial Services and Local Government. We've won several prestigious awards over the last More ❯

We are seeking a strategic and hands-on Lead Data Engineer to own the development of Aerial Direct’s cloud-native data platform. Working primarily within the Microsoft Azure ecosystem, you will be responsible for building and maintaining scalable data More ❯

the organization. Essential Technical Skills Experience in designing and developing data warehouse solutions. Building and configuring multistage Azure deployment pipelines Advanced SQL, Python, PySpark Azure Data Lake, Data Factory, Databricks and Functions Azure Data Lake Storage Gen2 Traditional ETL (Informatica, SSIS etc.) Azure Powershell/CLI Azure Key Vault ARM/Terraform scripts to deploy infrastructure services. Essential Experience Experience More ❯

transformation, and we’re looking for a talented Data Engineer to join our growing data team. In this role, you’ll be instrumental in building and deploying modern Azure Databricks based data solutions, enabling the business to make faster, data-driven decisions. You’ll work hands-on with Azure Databricks, Azure Data Factory, Delta Lake, and Power BI to design … data at Zodiac Maritime while working with cutting-edge cloud technologies. Key responsibilities and primary deliverables Design, develop, and optimize end-to-end data pipelines (batch & streaming) using Azure Databricks, Spark, and Delta Lake. Implement Medallion Architecture to structure raw, enriched, and curated data layers efficiently. Build scalable ETL/ELT processes with Azure Data Factory and PySpark. Work with … streaming with Kafka/Event Hubs, Knowledge Graphs). Advocate for best practices in data engineering across the organization. Skills profile Relevant experience & education Hands-on experience with Azure Databricks, Delta Lake, Data Factory, and Synapse. Strong understanding of Lakehouse architecture and medallion design patterns. Proficient in Python, PySpark, and SQL (advanced query optimization). Experience building scalable ETL pipelines More ❯

transformation, and we’re looking for a talented Data Engineer to join our growing data team. In this role, you’ll be instrumental in building and deploying modern Azure Databricks based data solutions, enabling the business to make faster, data-driven decisions. You’ll work hands-on with Azure Databricks, Azure Data Factory, Delta Lake, and Power BI to design … data at Zodiac Maritime while working with cutting-edge cloud technologies. Key responsibilities and primary deliverables Design, develop, and optimize end-to-end data pipelines (batch & streaming) using Azure Databricks, Spark, and Delta Lake. Implement Medallion Architecture to structure raw, enriched, and curated data layers efficiently. Build scalable ETL/ELT processes with Azure Data Factory and PySpark. Work with … streaming with Kafka/Event Hubs, Knowledge Graphs). Advocate for best practices in data engineering across the organization. Skills profile Relevant experience & education Hands-on experience with Azure Databricks, Delta Lake, Data Factory, and Synapse. Strong understanding of Lakehouse architecture and medallion design patterns. Proficient in Python, PySpark, and SQL (advanced query optimization). Experience building scalable ETL pipelines More ❯