951 to 975 of 4,173 ETL Jobs in the UK excluding London

This role is key to maintaining and evolving our data platform, supporting both ongoing enhancements and greenfield development. You will work on data integration, ETL pipelines, analytics, and AI-driven insights, ensuring robust data solutions that support business growth. You will be responsible for designing, building, and optimising Azure Data … opportunity to make a real impact in a small, skilled team, helping shape the firm’s data strategy and capabilities. Technical Skills Data Integration & ETL Azure Data Factory (ADF): Expert in setting up, configuring, and maintaining Azure Data Factory pipelines for efficient ETL processes, with a strong focus on data … reliability and performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management: Advanced knowledge More ❯

This role is key to maintaining and evolving our data platform, supporting both ongoing enhancements and greenfield development. You will work on data integration, ETL pipelines, analytics, and AI-driven insights, ensuring robust data solutions that support business growth. You will be responsible for designing, building, and optimising Azure Data … opportunity to make a real impact in a small, skilled team, helping shape the firm’s data strategy and capabilities. Technical Skills Data Integration & ETL Azure Data Factory (ADF): Expert in setting up, configuring, and maintaining Azure Data Factory pipelines for efficient ETL processes, with a strong focus on data … reliability and performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management: Advanced knowledge More ❯

Tools Proficiency: Expertise in Power BI, Tableau or similar visualisation tools. SQL and Databases: Strong knowledge of SQL, data warehousing concepts, and database management. ETL Processes: Experience with Extract, Transform, Load (ETL) processes (e.g. SSIS, AWS Glue, DBT). Data Modelling: Ability to create and manage data models. Data Analysis More ❯

tools • Strong communication and stakeholder management skills • Familiarity with GitHub for version control and documentation Bonus Points For: • Python skills • Knowledge of JSON and ETL/data ingestion workflows • Experience with AI/ML techniques for predictive modelling Benefits: • Generous staff discount (up to 50%!) • 30 days holiday (incl. bank More ❯

tools • Strong communication and stakeholder management skills • Familiarity with GitHub for version control and documentation Bonus Points For: • Python skills • Knowledge of JSON and ETL/data ingestion workflows • Experience with AI/ML techniques for predictive modelling Benefits: • Generous staff discount (up to 50%!) • 30 days holiday (incl. bank More ❯

and modern data architecture patterns . Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations across ETL and streaming services ( Glue, MSK, Kinesis, Kafka ) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your More ❯

and modern data architecture patterns . Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations across ETL and streaming services ( Glue, MSK, Kinesis, Kafka ) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your More ❯

About the job Role requirements: Collaborate with data engineers to understand ETL/ELT processes using ADF and Databricks. Develop test plans and test cases for data pipelines, including transformation logic validation and end-to-end data flow. Validate data accuracy, completeness, and consistency across systems (e.g., landing, staging, transformation More ❯

About the job Role requirements: Collaborate with data engineers to understand ETL/ELT processes using ADF and Databricks. Develop test plans and test cases for data pipelines, including transformation logic validation and end-to-end data flow. Validate data accuracy, completeness, and consistency across systems (e.g., landing, staging, transformation More ❯

Scala, Python, SQL and Ideally experience with Delta Lake or Databricks workflows, jobs, etc. Familiarity with Azure Data Lake: experience with data ingestion and ETL/ELT frameworks Data Governance experience – Metadata, Data Quality, Lineage, Data Access Models Good understanding of Data Modelling concepts, Data Products and Data Domains Unity More ❯

engineers and drive best practices across modern data platforms. ✅ Hands-on with Azure Data Factory, Synapse, and Fabric ✅ Strong SQL & Python skills ✅ Experience across ETL/ELT, data lakes, modelling, and governance ✅ Exposure to Spark, Kafka, or Snowflake a plus ✅ Agile/DevOps mindset and experience with Git, APIs, microservices More ❯

Scala, Python, SQL and Ideally experience with Delta Lake or Databricks workflows, jobs, etc. Familiarity with Azure Data Lake: experience with data ingestion and ETL/ELT frameworks Data Governance experience – Metadata, Data Quality, Lineage, Data Access Models Good understanding of Data Modelling concepts, Data Products and Data Domains Unity More ❯

engineers and drive best practices across modern data platforms. ✅ Hands-on with Azure Data Factory, Synapse, and Fabric ✅ Strong SQL & Python skills ✅ Experience across ETL/ELT, data lakes, modelling, and governance ✅ Exposure to Spark, Kafka, or Snowflake a plus ✅ Agile/DevOps mindset and experience with Git, APIs, microservices More ❯

different technical solutions. The following skills/experience is required: Strong data modelling, data warehousing and analytics background Excellent DevOps experience track record with ETL processes, and database design. Proficient in SQL and experience with various database technologies. Strong cloud platforms like AWS or Azure, particularly in data-related services. More ❯

different technical solutions. The following skills/experience is required: Strong data modelling, data warehousing and analytics background Excellent DevOps experience track record with ETL processes, and database design. Proficient in SQL and experience with various database technologies. Strong cloud platforms like AWS or Azure, particularly in data-related services. More ❯

doing: Helping analyse customer service data to generate actionable insights Supporting the migration from a traditional data warehouse to Microsoft Fabric Building and maintaining ETL processes (SSIS), reports (Power BI, some SSRS), and working with Azure Data Factory Learning our core systems (Azure, Microsoft CRM, housing systems) and contributing to More ❯

doing: Helping analyse customer service data to generate actionable insights Supporting the migration from a traditional data warehouse to Microsoft Fabric Building and maintaining ETL processes (SSIS), reports (Power BI, some SSRS), and working with Azure Data Factory Learning our core systems (Azure, Microsoft CRM, housing systems) and contributing to More ❯

doing: Helping analyse customer service data to generate actionable insights Supporting the migration from a traditional data warehouse to Microsoft Fabric Building and maintaining ETL processes (SSIS), reports (Power BI, some SSRS), and working with Azure Data Factory Learning our core systems (Azure, Microsoft CRM, housing systems) and contributing to More ❯

doing: Helping analyse customer service data to generate actionable insights Supporting the migration from a traditional data warehouse to Microsoft Fabric Building and maintaining ETL processes (SSIS), reports (Power BI, some SSRS), and working with Azure Data Factory Learning our core systems (Azure, Microsoft CRM, housing systems) and contributing to More ❯

doing: Helping analyse customer service data to generate actionable insights Supporting the migration from a traditional data warehouse to Microsoft Fabric Building and maintaining ETL processes (SSIS), reports (Power BI, some SSRS), and working with Azure Data Factory Learning our core systems (Azure, Microsoft CRM, housing systems) and contributing to More ❯

At least 5 years' experience in Power BI development and administration. Advanced skills in DAX, Power Query, and data modelling. Strong understanding of SQL, ETL processes, and cloud-based data sources. Familiarity with Microsoft Fabric is advantageous. Excellent analytical, communication, and leadership skills. Benefits include private healthcare, performance bonuses, enhanced More ❯

engineering teams in a fast-paced environment ✔️ Strong expertise in SQL, Python, and cloud-based data platforms ( AWS/Azure/GCP ) ✔️ Experience with ETL processes, data lakes, and data warehouse architectures ✔️ Knowledge of big data technologies (Spark, Kafka, Snowflake, etc.) ✔️ Excellent stakeholder management and ability to translate business needs More ❯

engineering teams in a fast-paced environment ✔️ Strong expertise in SQL, Python, and cloud-based data platforms ( AWS/Azure/GCP ) ✔️ Experience with ETL processes, data lakes, and data warehouse architectures ✔️ Knowledge of big data technologies (Spark, Kafka, Snowflake, etc.) ✔️ Excellent stakeholder management and ability to translate business needs More ❯

ideally London Market Strong SQL skills (Python desirable) and experience with relational databases Ability to translate business needs into technical data solutions Familiarity with ETL, data modelling, and data governance Strong stakeholder management and communication skills Experience with Power BI, Azure, and tools like Informatica, Collibra, Alation Desirable Knowledge of More ❯

engineering teams in a fast-paced environment ✔️ Strong expertise in SQL, Python, and cloud-based data platforms ( AWS/Azure/GCP ) ✔️ Experience with ETL processes, data lakes, and data warehouse architectures ✔️ Knowledge of big data technologies (Spark, Kafka, Snowflake, etc.) ✔️ Excellent stakeholder management and ability to translate business needs More ❯