76 to 100 of 579 ETL Jobs in the UK

scientists, analysts, and software engineers to ensure the company's data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable data solutions to support analytics, machine learning, and real-time financial applications. Drive best practices for data engineering, ensuring high levels of data quality, governance, and security. More ❯

Power BI Data Analyst) Technical Skills Strong expertise in Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate More ❯

Power BI Data Analyst) Technical Skills Strong expertise in Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate More ❯

Power BI Data Analyst) Technical Skills Strong expertise in Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate More ❯

BI Data Analyst Associate Responsibilities: On a daily basis your varied role will 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 More ❯

Databricks and native Azure services Requirements: 10+ years in cloud data engineering, with a strong focus on building scalable data pipelines Expertise in Azure Databricks, including building and managing ETL pipelines using PySpark or Scala Solid understanding of Apache Spark, Delta Lake, and distributed data processing concepts Hands-on experience with Azure Data Lake Storage, Azure Data Factory, and Azure More ❯

skills in designing and deploying data-driven solutions based on SAS Viya, and SAS Data Integration software. - Management of dependencies utilising Platform LSF and Jira - Strong skills in using ETL tools such as Pentaho and Talend - Experience with SAS for data analysis purposes, and previous data visualisation experience would be desirable - Skills in DevOps would be beneficial, particularly related to More ❯

. Advanced expertise in Power BI (DAX, data modeling, custom visuals, row-level security). Advanced knowledge of Excel (Power Query, PivotTables, VBA/macros preferred). Experience with ETL processes, data integration, and cleansing. Strong analytical and problem-solving skills with attention to detail. Ability to manage multiple projects and meet deadlines in a fast-paced environment. Excellent communication More ❯

to interpret complex data needs. Advanced Excel skills (eg pivot tables, formulas, data manipulation). Proven ability to translate business requirements into BI solutions. Good understanding of data warehousing, ETL, and data modelling. Strong knowledge of data quality, governance, and management. Proficiency with SQL and cloud-based databases. Effective communicator for both technical and non-technical audiences. Experience documenting BI More ❯

Azure DevOps Consulting: Requirements gathering, stakeholder engagement, agile delivery Desirable Experience Power BI/Tableau Azure Functions (Python/C#) Streaming (Event Hubs, Stream Analytics) CI/CD, SDLC, ETL best practices Please only apply if you have full right to work in the UK. This is remote with occasional travel as required to client sites and falls outside of More ❯

to interpret complex data needs. Advanced Excel skills (eg pivot tables, formulas, data manipulation). Proven ability to translate business requirements into BI solutions. Good understanding of data warehousing, ETL, and data modelling. Strong knowledge of data quality, governance, and management. Proficiency with SQL and cloud-based databases. Effective communicator for both technical and non-technical audiences. Experience documenting BI More ❯

decisions and shape the company's long-term data strategy. What you'll be doing: Designing, developing, and owning scalable data pipelines and APIs . Building infrastructure for optimal ETL/ELT processes across diverse data sources. Working with Azure, dbt, SQL, and Python to deliver cloud-first solutions. Taking ownership of data quality and identifying opportunities for continuous improvement. More ❯

decisions and shape the company's long-term data strategy. What you'll be doing: Designing, developing, and owning scalable data pipelines and APIs . Building infrastructure for optimal ETL/ELT processes across diverse data sources. Working with Azure, dbt, SQL, and Python to deliver cloud-first solutions. Taking ownership of data quality and identifying opportunities for continuous improvement. More ❯

self-service analytics and data literacy. Who We're Looking For: Proven experience with Power BI, DAX, Power Query, and data modeling. Strong understanding of data warehousing concepts and ETL processes. Proficiency in SQL and experience working with relational databases. Excellent problem-solving and communication skills. Ability to work independently and manage multiple projects simultaneously. Experience with other Microsoft tools More ❯

self-service analytics and data literacy. Who We’re Looking For: Proven experience with Power BI, DAX, Power Query, and data modeling. Strong understanding of data warehousing concepts and ETL processes. Proficiency in SQL and experience working with relational databases. Excellent problem-solving and communication skills. Ability to work independently and manage multiple projects simultaneously. Experience with other Microsoft tools More ❯

self-service analytics and data literacy. Who We're Looking For: Proven experience with Power BI, DAX, Power Query, and data modeling. Strong understanding of data warehousing concepts and ETL processes. Proficiency in SQL and experience working with relational databases. Excellent problem-solving and communication skills. Ability to work independently and manage multiple projects simultaneously. Experience with other Microsoft tools More ❯

quality improvement. Contribute to best practice sharing and community-building initiatives within the data engineering space. Required Skills & Experience Cloud Platforms: Strong expertise in AWS/Azure/SAP ETL/ELT Pipelines: Advanced proficiency Data Modelling: Expert level Data Integration & Ingestion: Skilled Databricks, SQL, Synapse, Data Factory and related Azure services Version Control/DevOps tools: GITHUB, Azure DevOps More ❯

Build sophisticated reporting solutions and drive the adoption of generative AI to enable intuitive self-service analytics. Enhance data engineering processes through automation, CI/CD pipelines and optimized ETL/ELT workflows. Experiment with new tools, technologies and approaches to support the organisation’s analytics and insights strategy. Provide ongoing support for data products, including incident management and defining More ❯

Build sophisticated reporting solutions and drive the adoption of generative AI to enable intuitive self-service analytics. Enhance data engineering processes through automation, CI/CD pipelines and optimized ETL/ELT workflows. Experiment with new tools, technologies and approaches to support the organisation’s analytics and insights strategy. Provide ongoing support for data products, including incident management and defining More ❯

Build sophisticated reporting solutions and drive the adoption of generative AI to enable intuitive self-service analytics. Enhance data engineering processes through automation, CI/CD pipelines and optimized ETL/ELT workflows. Experiment with new tools, technologies and approaches to support the organisation’s analytics and insights strategy. Provide ongoing support for data products, including incident management and defining More ❯

Build sophisticated reporting solutions and drive the adoption of generative AI to enable intuitive self-service analytics. Enhance data engineering processes through automation, CI/CD pipelines and optimized ETL/ELT workflows. Experiment with new tools, technologies and approaches to support the organisation’s analytics and insights strategy. Provide ongoing support for data products, including incident management and defining More ❯

Build sophisticated reporting solutions and drive the adoption of generative AI to enable intuitive self-service analytics. Enhance data engineering processes through automation, CI/CD pipelines and optimized ETL/ELT workflows. Experiment with new tools, technologies and approaches to support the organisation’s analytics and insights strategy. Provide ongoing support for data products, including incident management and defining More ❯

Engineer, Data Engineer or BI Data Lead in a modern cloud environment Strong hands-on experience with Azure Data Factory, Data Lakes and Data Warehousing Knowledge of Power BI, ETL processes and integrating enterprise data sources (SAP, Salesforce, production systems) Excellent communication skills - able to engage across departments and translate data requirements into solutions Competent in SQL for querying, validation More ❯

Engineer, Data Engineer or BI Data Lead in a modern cloud environment Strong hands-on experience with Azure Data Factory, Data Lakes and Data Warehousing Knowledge of Power BI, ETL processes and integrating enterprise data sources (SAP, Salesforce, production systems) Excellent communication skills - able to engage across departments and translate data requirements into solutions Competent in SQL for querying, validation More ❯

Engineer, Data Engineer or BI Data Lead in a modern cloud environment Strong hands-on experience with Azure Data Factory, Data Lakes and Data Warehousing Knowledge of Power BI, ETL processes and integrating enterprise data sources (SAP, Salesforce, production systems) Excellent communication skills - able to engage across departments and translate data requirements into solutions Competent in SQL for querying, validation More ❯