21 of 21 Amazon Redshift Jobs in the East of England

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 More ❯

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 More ❯

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 More ❯

Governance, Security & Compliance - aligned to Data best practices. 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 More ❯

Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative and pragmatic with great communication skills What More ❯

Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative and pragmatic with great communication skills What More ❯

Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative and pragmatic with great communication skills What More ❯

the team, promoting best practices and knowledge sharing. What Experience is Required Proven experience as a Data Engineer , ideally 4+ years in a similar role. Strong proficiency with SQL , Amazon Redshift , and preferably MySQL and QuickSight . Experience with AWS Glue , Python scripting , and building ETL/ELT data processes. Salary & Benefits £85,000 per annum plus excellent More ❯

Proven experience designing and governing complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps tooling (Terraform, GitHub, CodePipeline, Azure More ❯

Proven experience designing and governing complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps tooling (Terraform, GitHub, CodePipeline, Azure More ❯

Proven experience designing and governing complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps tooling (Terraform, GitHub, CodePipeline, Azure More ❯

Experience using SAP Business Objects (Data Services, Information Design Tool) is essential. Minimum of 3+ years’ experience in reporting, MI, or BI development roles. Strong SQL expertise (MySQL preferred; Redshift a bonus). Proven experience creating dashboards and BI reports. Understanding of ETL processes and data integration from multiple sources. Confident communicator and collaborator within Agile environments. Experience with More ❯

governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD pipelines. Validate BI solutions across Power BI, Qlik, and AWS data platforms (S3, Redshift, Athena, etc.). Oversee end-to-end testing for data platforms, ensuring reliability, scalability, and compliance. Work closely with developers, analysts, and business teams to align QA priorities with … 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 tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile More ❯

governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD pipelines. Validate BI solutions across Power BI, Qlik, and AWS data platforms (S3, Redshift, Athena, etc.). Oversee end-to-end testing for data platforms, ensuring reliability, scalability, and compliance. Work closely with developers, analysts, and business teams to align QA priorities with … 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 tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile More ❯

governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD pipelines. Validate BI solutions across Power BI, Qlik, and AWS data platforms (S3, Redshift, Athena, etc.). Oversee end-to-end testing for data platforms, ensuring reliability, scalability, and compliance. Work closely with developers, analysts, and business teams to align QA priorities with … 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 tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile More ❯

governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD pipelines. Validate BI solutions across Power BI, Qlik, and AWS data platforms (S3, Redshift, Athena, etc.). Oversee end-to-end testing for data platforms, ensuring reliability, scalability, and compliance. Work closely with developers, analysts, and business teams to align QA priorities with … 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 tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile More ❯

practices. You'll have deep experience in: Languages & Frameworks: TypeScript, Node.js, PHP (Laravel/Nova), React, React Native, Python, SQL, Postgres, Redis. Cloud & Infrastructure: AWS (ECS, IoT Core, Lambda, Redshift, Cognito) and GCP (BigQuery, Firebase, Cloud Functions, Pub/Sub). Tools & Processes: Git, Postman, JIRA, Confluence, and automated testing tools. About You 5+ years in software development, with More ❯

practices. You ll have deep experience in: Languages & Frameworks: TypeScript, Node.js, PHP (Laravel/Nova), React, React Native, Python, SQL, Postgres, Redis. Cloud & Infrastructure: AWS (ECS, IoT Core, Lambda, Redshift, Cognito) and GCP (BigQuery, Firebase, Cloud Functions, Pub/Sub). Tools & Processes: Git, Postman, JIRA, Confluence, and automated testing tools. About You 5+ years in software development, with More ❯

practices. You’ll have deep experience in: Languages & Frameworks: TypeScript, Node.js, PHP (Laravel/Nova), React, React Native, Python, SQL, Postgres, Redis. Cloud & Infrastructure: AWS (ECS, IoT Core, Lambda, Redshift, Cognito) and GCP (BigQuery, Firebase, Cloud Functions, Pub/Sub). Tools & Processes: Git, Postman, JIRA, Confluence, and automated testing tools. About You 5+ years in software development, with More ❯

Governance, Security & Compliance - aligned to Data best practices. 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 … Assurance/Store Discount/Well 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 ❯

Governance, Security & Compliance - aligned to Data best practices. 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 … Assurance/Store Discount/Well 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/(phone number More ❯