9 of 9 ETL Jobs in East Anglia

Product concepts for modern data architecture Proficient in Agile methodologies, iterative development, and delivering value in cross-functional teams Demonstrated capability in designing, implementing, and optimizing data pipelines and ETL processes using state-of-the-art tools Skilled at architecting and managing secure, scalable AWS environments and working experience in the data & analytics services such as Amazon EC2, AWS Lambda More ❯

TOGAF/Zachman enterprise architecture frameworks Cloud native data platforms - Azure/AWS/GCP Data mesh Data Governance Data Lakehouse, warehouse and virtualisation concepts MDM/Metadata management ETL/ELT processes and data pipeline builds Data readiness for AI Strong understanding of business architecture Be part of a team shaping the future of data-driven technology within the More ❯

TOGAF/Zachman enterprise architecture frameworks Cloud native data platforms - Azure/AWS/GCP Data mesh Data Governance Data Lakehouse, warehouse and virtualisation concepts MDM/Metadata management ETL/ELT processes and data pipeline builds Data readiness for AI Strong understanding of business architecture Be part of a team shaping the future of data-driven technology within the More ❯

which is part of a much larger IT function. Role: Data Movement & Transformation processes between Application/Services/Solutions. Azure Data Factory Pipelines & SSRS reporting solutions - maintenance & optimization ETL - Design, implement & manage ETL processes - ensure accuracy, quality & consistency. Monitor daily Data Loads & ETL workflows. AWS - Support the migration of Data Services to AWS - scalable & cloud-first solutions. Deliver UK … Liaison with IT Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory. AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support - Power BI - desirable experience. Undertake & Support IT Governance processes … Being Programme/Cycle to Work Scheme/Electric Car Salary Sacrifice Scheme. Keywords: Data Engineer, Azure Data Factory, AWS, AWS Data Services, Redshift, S3, Lambda, Azure BI Technologies, ETL, Data Warehousing, Data Modelling & Kimball Methodology, Data Engineer, Power BI, SQL, ETL, SSRS, Data Engineer. Cambridge, Permanent, T6/MN/1292110. More ❯

ll Be Doing: Lead and mentor a small team of QA engineers across data and BI testing projects. Define and deliver the overall BI QA strategy, embedding quality throughout ETL pipelines, data models, and reporting layers. Design and implement test frameworks covering data accuracy, governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD … align QA priorities with wider delivery goals. Track quality metrics and introduce continuous improvements to QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation More ❯

ll Be Doing: Lead and mentor a small team of QA engineers across data and BI testing projects. Define and deliver the overall BI QA strategy, embedding quality throughout ETL pipelines, data models, and reporting layers. Design and implement test frameworks covering data accuracy, governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD … align QA priorities with wider delivery goals. Track quality metrics and introduce continuous improvements to QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation More ❯

ll Be Doing: Lead and mentor a small team of QA engineers across data and BI testing projects. Define and deliver the overall BI QA strategy, embedding quality throughout ETL pipelines, data models, and reporting layers. Design and implement test frameworks covering data accuracy, governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD … align QA priorities with wider delivery goals. Track quality metrics and introduce continuous improvements to QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation More ❯

Analyse existing data structures and understand business requirements for data migration. Design and implement robust data migration strategies. Develop scripts and processes to automate data extraction, transformation, and loading (ETL) processes. Work closely with stakeholders, including business users and IT teams, to ensure data requirements are met, and migrations proceed without disruption to business operations. Responsibilities: Plan, coordinate, and execute … data migration projects within set timelines. Design and build ETL solutions, ensuring data quality and integrity throughout the migration process. Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda … RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure DB, Azure Synapse, Azure Data lake and Azure Monitor providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom More ❯

Analyse existing data structures and understand business requirements for data migration. Design and implement robust data migration strategies. Develop scripts and processes to automate data extraction, transformation, and loading (ETL) processes. Work closely with stakeholders, including business users and IT teams, to ensure data requirements are met, and migrations proceed without disruption to business operations. Responsibilities: Plan, coordinate, and execute … data migration projects within set timelines. Design and build ETL solutions, ensuring data quality and integrity throughout the migration process. Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda … RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure DB, Azure Synapse, Azure Data lake and Azure Monitor providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom More ❯