1 to 25 of 39 Permanent ETL Jobs in the South West

SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau, Power BI) to create insightful dashboards and reports for stakeholders. Business Acumen More ❯

SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau, Power BI) to create insightful dashboards and reports for stakeholders. Business Acumen More ❯

SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau, Power BI) to create insightful dashboards and reports for stakeholders. Business Acumen More ❯

SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau, Power BI) to create insightful dashboards and reports for stakeholders. Business Acumen More ❯

SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau, Power BI) to create insightful dashboards and reports for stakeholders. Business Acumen More ❯

SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau, Power BI) to create insightful dashboards and reports for stakeholders. Business Acumen More ❯

programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures. Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob Storage, Azure SQL Database, and related components within the More ❯

programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures. Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob Storage, Azure SQL Database, and related components within the More ❯

programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures. Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob Storage, Azure SQL Database, and related components within the More ❯

programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures. Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob Storage, Azure SQL Database, and related components within the More ❯

programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures. Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob Storage, Azure SQL Database, and related components within the More ❯

programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures. Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob Storage, Azure SQL Database, and related components within the More ❯

programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures. Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob Storage, Azure SQL Database, and related components within the More ❯

Solid knowledge of Delta Lake and Lakehouse principles. Hands-on experience with SQL for data transformation. Familiarity with Azure services (ADLS/Blob, Key Vault, SQL). Knowledge of ETL/ELT frameworks and monitoring. Desirable: Understanding of Microsoft Fabric . Experience with DevOps practices (CI/CD). Awareness of data governance and lineage tools . Experience in Financial More ❯

for: We're seeking someone with significant experience in data reporting and analytics, excellent SQL and Power BI skills, and a strong understanding of relational databases, data modelling, and ETL processes. You'll need a Level 3 qualification in a relevant subject (or equivalent experience), along with a keen eye for accuracy, strong problem-solving abilities, and confidence communicating technical More ❯

AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What More ❯

AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What More ❯

AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What More ❯

the data pipelines, integrations, and platforms that keep Neptune's data accurate, accessible, and secure. Your Key Responsibilities Design, build, and maintain robust ETL pipelines to efficiently extract, transform, and load data from multiple sources. Develop and optimise SQL queries, stored procedures, and database scripts to deliver high-performance data processing. Implement automated data flows that connect operational systems with … engineer manual or ad hoc data processes into scalable, repeatable workflows. Ensure data quality, integrity, and consistency through rigorous testing and validation. Provide proactive and reactive support for database and ETL-related issues, including user guidance where needed. Build structured, accessible datasets that enable clear and reliable business intelligence reporting. Document database structures, ETL processes, and data pipelines to support … ongoing development and maintenance. Work with APIs and programming languages (such as Python) to extend ETL and integration capabilities. Support the development team with advice on database design, indexing, and query optimisation. Monitor and tune database performance, applying updates and version upgrades where required. You'll bring Proven experience as a Data Engineer or in a similar technical data role. More ❯

experience (ideally 5 years+) working in a data or Architecture domain across a range of different technologies (including business intelligence, data warehousing, data management and data delivery, database and ETL technologies ) Expertise in data concepts and tools, such as Big Data, ML Ops and Kafka. Confident communicator - able to present complex technical issues in a clear manner to technical and More ❯

GCP) and Palantir Foundry environments to deliver and maintain robust data solutions. Support data modelling and warehousing activities using best practices in schema design and data governance. Contribute to ETL/ELT development, testing, and automation using tools such as Python, SQL, Airflow, or Azure Data Factory. Collaborate closely with analysts, scientists, and architects to ensure data solutions meet business … Eligible for UK Security Clearance (or 5+ years UK residency . Desirable Skills & Exposure Familiarity with data lakes, warehouses, or streaming architectures (e.g. Databricks, Spark, Kafka). Experience with ETL tools, orchestration frameworks, or automation pipelines. Understanding of version control and CI/CD (e.g. GitHub, Azure DevOps). Awareness of data governance, lineage, and cataloguing tools. Curiosity to explore More ❯

on all the following and more. Produce reports and analysis summarising the performance of offices, branches and regions. Analyse individual business data and make recommendations to improve performance. Creating ETL solutions to capture data from multiple sources and map/structure into either QVD files or SQL databases depending on the solution required. Optimize SQL server queries to efficiently and More ❯

on all the following and more. Produce reports and analysis summarising the performance of offices, branches and regions. Analyse individual business data and make recommendations to improve performance. Creating ETL solutions to capture data from multiple sources and map/structure into either QVD files or SQL databases depending on the solution required. Optimize SQL server queries to efficiently and More ❯

on all the following and more. Produce reports and analysis summarising the performance of offices, branches and regions. Analyse individual business data and make recommendations to improve performance. Creating ETL solutions to capture data from multiple sources and map/structure into either QVD files or SQL databases depending on the solution required. Optimize SQL server queries to efficiently and More ❯

datasets in BigQuery Exposure to Google Analytics (GA4) and marketing analytics, including CRM data and campaign performance Understanding of data governance, GDPR, and data quality best practices Familiarity with ETL tools like FiveTran is a big bonus! What youll get in return for your experience A salary of up to £40,000 per annum, flexible hybrid working, and the chance More ❯