1 to 25 of 43 ETL Jobs in the East of England

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 ❯

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 ❯

Ability to work independently and thrive in a team environment. Eagerness to learn and develop technical skills; a degree or relevant experience is required. Knowledge of data warehousing and ETL processes. Familiarity with Power Apps, Azure Data Factory, and Power Automate is advantageous. Someone with a can do attitude who pays attention to detail and can spot irregularities. Office Angels More ❯

your chance to work on exciting projects, design robust data architectures, and help organisations unlock the full potential of their data. Key Responsibilities: Build and optimise data pipelines and ETL workflows using Microsoft Fabric and Azure Synapse or Databricks. Implement scalable solutions for data ingestion, storage, and transformation. Develop clean, reusable Python code for data engineering tasks. Research and integrate More ❯

ways to improve systems, processes, and the way we work. About You Essential: At least 1 year of experience working in a business environment Experience working with business data, ETL processes, and data modelling Data analysis and report-building experience Strong Excel skills (including pivot tables and Power Query) Excellent attention to detail Confident with data management and analysis Able More ❯

reporting strategies. Work with Product Owners, Developers, Designers, DevOps, and business stakeholders. Develop and maintain MI/BI reports and dashboards (ideally in QuickSight). Build, test, and optimise ETL/ELT processes using AWS Glue, Python, and SQL. Analyse complex reporting requirements and deliver scalable solutions. Review and validate report accuracy and data integrity. Recommend improvements to reporting processes More ❯

and actively participate in resolving issues related to data platform operations, providing support as needed. You will need Proficiency in SQL and programming languages like Python Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow and dbt Experience working with cloud platforms e.g. Azure Knowledge of data lakes and data warehouses concepts and distributed systems like Kafka More ❯

high-quality data products, this role offers significant technical growth and hands-on experience. Responsibilities Supporting the migration of data pipelines from Netezza to Snowflake. Building reliable ELT/ETL processes, API integrations, and automated workflows (Workato). Developing and maintaining data models that support BI and analytics use cases. Ensuring data quality through cleansing, validation, and testing. Troubleshooting data … can trust. Contributing to the establishment of new in-house data engineering standards. Learning from and supporting the new Data Engineering Lead, Linda. Skills & Experience Experience in data engineering, ETL/ELT development, or data warehousing. Strong SQL skills and experience with Snowflake, Netezza, or similar DW platforms. Understanding of data modelling and pipeline design. Ability to articulate technical concepts More ❯

high-quality data products, this role offers significant technical growth and hands-on experience. Responsibilities Supporting the migration of data pipelines from Netezza to Snowflake. Building reliable ELT/ETL processes, API integrations, and automated workflows (Workato). Developing and maintaining data models that support BI and analytics use cases. Ensuring data quality through cleansing, validation, and testing. Troubleshooting data … can trust. Contributing to the establishment of new in-house data engineering standards. Learning from and supporting the new Data Engineering Lead, Linda. Skills & Experience Experience in data engineering, ETL/ELT development, or data warehousing. Strong SQL skills and experience with Snowflake, Netezza, or similar DW platforms. Understanding of data modelling and pipeline design. Ability to articulate technical concepts More ❯

business decision-making. Skills & Experience Proven experience with SAP Business Objects (Data Services and Information Design Tool). Strong SQL skills (ideally MySQL; Redshift experience advantageous). Experience developing ETL processes from multiple data sources. Background in dashboard design and data visualisation. Excellent communication and analytical skills. Minimum of three years’ experience in a similar Reporting Developer or BI-focused More ❯

practices. Skills and Experience Required: Proven experience with SAP Business Objects (Data Services and Information Design Tool). Strong SQL skills (ideally MySQL; Redshift experience advantageous). Experience developing ETL processes from multiple data sources. Background in dashboard design and data visualisation. Excellent communication and analytical skills. Minimum of three years’ experience in a similar Reporting Developer or BI-focused More ❯

with SAP Business Objects (Data Services and Information Design Tool). Mortgages or secured credit sector experience essential Strong SQL skills (ideally MySQL; Redshift experience advantageous). Experience developing ETL processes from multiple data sources. Background in dashboard design and data visualisation. Excellent communication and analytical skills. Minimum of three years’ experience in a similar Reporting Developer or BI-focused 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 ❯