1 to 25 of 41 Permanent Databricks Jobs in Leeds

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing More ❯

and optimize data models, warehouse solutions, and ETL processes. Work with Scala, Spark, and Java to handle large-scale data processing. Contribute to manual Databricks-like data processing solutions. Requirements: Minimum of 4 years of experience with Scala, Spark, and Java. Strong technical skills and a passion for working with More ❯

experience in delivering Big Data architecture and design solutions, specifically Azure Extensive experience with Azure data services (e.g., Azure SQL, Azure Data Lake, Azure Databricks). Strong understanding of data architecture principles and best practices. Proficient in data integration and ETL processes. Excellent problem-solving skills and ability to work More ❯

roadmaps - Drive innovation in our data engineering space Must-Have Experience: - 8+ years in data engineering with team leadership experience - Expert-level knowledge of Databricks platform for logistics applications - Advanced Python development skills - Deep understanding of SQL optimization for large-scale operations - Proven experience with AWS technologies (EC2, Lambda, Fargate More ❯

transactional data (handling terabytes of data) is optimized for business performance. Data Architecture Expertise: Lead the architectural design of data warehouses, data lakes, and Databricks, ensuring seamless integration for AI-driven forecasting and operational analytics. GenAI Implementation: Leverage Generative AI to streamline data gathering, analysis, and presentation for business operations. More ❯

gather requirements, challenge assumptions, and turn needs into solutions. Background in solution design and a solid understanding of data platform strategy. Proven experience with Databricks (Azure or AWS), SQL, and Python Understanding of cloud technologies (either AWS or Azure) Experience in data modelling, pipeline optimisation, and delivering scalable solutions. Comfortable More ❯

gather requirements, challenge assumptions, and turn needs into solutions. Background in solution design and a solid understanding of data platform strategy. Proven experience with Databricks (Azure or AWS), SQL, and Python Understanding of cloud technologies (either AWS or Azure) Experience in data modelling, pipeline optimisation, and delivering scalable solutions. Comfortable More ❯

/platform engineering capabilities Experience working with Big Data Experience of data storage technologies: Delta Lake, Iceberg, Hudi Knowledge and understanding of Apache Spark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications Competence in evaluating and selecting development tools and technologies Sound like the More ❯

gather requirements, challenge assumptions, and turn needs into solutions.â • Background in solution design and a solid understanding of data platform strategy.â • Proven experience with Databricks (Azure or AWS), SQL, and Pythonâ • Understanding of cloud technologies (either AWS or Azure)â • Experience in data modelling, pipeline optimisation, and delivering scalable solutions.â More ❯

other engineers Their Technology Stack: Microsoft Azure Docker, Kubernetes and Terraform TypeScript, Node.JS C# - .NET Core Golang Python and R with Jupyter and Azure DataBricks Postgres (and Timescale), Redis, document and column-based storage engines RabbitMQ and Kafka-style commit logs Dapr React, Redux, React-Router, Styled-Components, Express, TRPC More ❯

stay at the forefront of technology. Who They're Looking For: At least 3 years of meaningful experience with Azure Data platforms (Azure Synapse, Databricks, Data Factory, Data Lake, etc.). Azure certifications highly valued: Azure Data Engineer Associate, Azure Solutions Expert, Azure AI Engineer. Confident communicator who can clearly … all levels. Independent and proactive, you see opportunities and take initiative without waiting to be asked. Key Tech Experience Needed: Azure Data technologies (Synapse, Databricks, Data Factory, Data Lake, Microsoft Fabric) Azure DevOps, Git Stream Analytics, Event Hubs T-SQL, Python Power BI expertise, including DAX What's On Offer More ❯

DevOps teams to align operational strategies with technical and business requirements. Optimize operational performance and cost management for services including Azure Data Factory, Azure Databricks, Delta Lake, and Azure Data Lake Storage. Serve as the domain expert in DataOps by providing strategic guidance, mentoring colleagues, and driving continuous process improvements. … and driving automation of data workflows within the Microsoft Azure ecosystem. Hands-on expertise with Azure Data Platform components including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Delta Lake, Azure SQL, Purview and APIM. Proficiency in developing CI/CD data pipelines and strong programming skills in Python … Demonstrated expertise in cost optimisation and performance tuning within an Azure-based data infrastructure. Relevant certifications such as Azure Data Engineer Associate, Azure DevOps, Databricks Data Engineer Professional, or equivalent credentials. Ability to build and manage the DataOps processes in a newly formed team which is planned to continue to More ❯