7 of 7 Amazon Redshift Jobs in Watford

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 ❯

infrastructure. Collaborating with cross-functional teams — from Product and DevOps to senior leadership — to deliver impactful MI and BI solutions. Designing and developing dashboards and reports using tools like Amazon QuickSight. Supporting and mentoring junior data team members, fostering best practices and continuous improvement. Conducting technical reviews to ensure data accuracy, consistency, and reliability. Driving innovation by recommending improvements … complex data and reporting issues with a proactive mindset. Main Skills Needed 4+ years’ experience as a Data Engineer or similar. Strong SQL skills and hands-on experience with Amazon Redshift (MySQL a plus). Proficiency in AWS Glue and Python scripting for ETL. Solid data modelling and dashboard development experience. Familiarity with Agile delivery, JIRA, and Confluence. 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 ❯

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 ❯