1 to 25 of 85 Permanent Databricks Jobs in Leeds

of data warehousing and data governance. **Preferred Qualifications:** - Knowledge of DevOps practices and CI/CD pipelines. - Familiarity with cloud-native data platforms (e.g., Databricks). - Understanding of data privacy regulations (e.g., GDPR). More ❯

experience in programming languages such as Python or Java. Experience with the Microsoft Azure ecosystem is essential, including proficiency with Azure Data Factory and Databricks, as these tools are integral to managing data within the UDAL platform. Data Quality and Governance: Experience in implementing data quality controls, data cleansing routines More ❯

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 More ❯

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 More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the More ❯

a data analysis role with commercial/business focus. · Strong proficiency with common data analysis tools, with a specific focus on Power BI, SQL, Databricks and Azure data platform. · Experience working with large datasets and developing meaningful business insights. · Ability to translate commercial and operational requests for insight from non More ❯

senior capacity Demonstrable experience designing and managing metadata-driven frameworks using Azure Data Factory and Azure Databricks. Competence in and hands-on experience managing Databricks environments and developing lakehouse architectures with a focus on automation, performance tuning, cost optimisation, and system reliability. Proven proficiency in programming languages such as Python More ❯

a data analysis role with commercial/business focus. · Strong proficiency with common data analysis tools, with a specific focus on Power BI, SQL, Databricks and Azure data platform. · Experience working with large datasets and developing meaningful business insights. · Ability to translate commercial and operational requests for insight from non More ❯

and Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud More ❯

open-source technologies like Spark, Kafka, Beam understanding of Cloud tools such as AWS, Microsoft Azure or Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an agile environment About Us We are Citation. We are far from your average service provider. Our colleagues bring their brilliant selves More ❯

Energy domains. We hold top-level partnership statuses with all the major cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE A technology professional focused on Data Warehouses, ETL, and BI solutions development Experienced in eliciting business requirements to More ❯

SQL Azure cloud 👍 Bonus points for experience with: DBT CI/CD - e.g. Azure DevOps IaC - e.g. Terraform or Pulumi Data warehousing experience - e.g. Databricks other Azure services such as Azure Fabric, Data Factory 🛂 Please note : unfortunately, this role does not offer VISA sponsorship. More ❯

we'll help you get there. What's the Opportunity? We're recruiting for entry-level roles in: Junior Data Engineering - work with Azure, Databricks, Python, and Power BI Junior DevOps Engineering - get hands-on with CI/CD, cloud platforms, automation tools, and modern engineering practices How It Works More ❯

Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# More ❯

related to data accessibility, consistency, and analysis Key Skills & Experience: Proven expertise in Microsoft Azure Data Services, including Data Factory, Synapse, Data Lake, and Databricks Deep knowledge of Power BI and data visualization best practices 10+ years working with data architecture and analytics on the Azure platform Solid experience with More ❯

experience as a Data Engineer, Cloud Engineer, or in a similar role with hands-on expertise in Azure. Solid experience with data processing frameworks (Databricks/Azure SQL). Proficiency in SQL, Python, or other programming languages. Strong understanding of ETL processes, data modelling, and optimisation techniques. A collaborative mindset More ❯

Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Nice to have: Hands-on experience with data warehouse and lakehouse architectures (e.g., Databricks, Snowflake, or similar). Experience with big data frameworks (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, or GCP). More ❯

organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. More ❯

Energy domains. We hold top-level partnership statuses with all the major cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE Experienced in data analysis within a healthcare environment for 3–5+ years Skilled in working with large-scale More ❯

Data Analytics Senior Sales Consultant – Data Analytics, snowflake, talend, databricks, salesforce, hubspot, SaaS, data lakes, apis, adtech, GDPR, CCPA, B2B, Sales Consultant, Account Manager, DataOps, CICD, DevOPs, CI/CD, GenAI, RAG, AWS, Azure, Apache, Spark, Kafka – UK Wide - £80,000-£95,000 + OTE Our large Microsoft Partner client More ❯

Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# More ❯

tools like GitHub Actions to automate deployment workflows. Working knowledge of many Azure Data Services and associated applications, including (but not limited to) Azure Databricks, Azure Data Factory, Azure Monitor, Azure Data Lake Storage, Azure Identity Management. Demonstrable experience with monitoring, alerting, and performance tuning in cloud environments. Ability to More ❯

tools like GitHub Actions to automate deployment workflows. Working knowledge of many Azure Data Services and associated applications, including (but not limited to) Azure Databricks, Azure Data Factory, Azure Monitor, Azure Data Lake Storage, Azure Identity Management. Demonstrable experience with monitoring, alerting, and performance tuning in cloud environments. Ability to More ❯

end delivery lifecycle for Data Platforms with hands-on experience with a range of Data Management and Analytics applications (including but not limited to Databricks, Power BI, Collibra, Microsoft Fabric, Tableau, Alteryx), and an understanding of delivery patterns using these applications. Experience in projects that have rolled out Data Management More ❯