London, South East, England, United Kingdom Hybrid/Remote Options
Involved Solutions
strategic business decisions. Responsibilities for the AWS Data Engineer: Design, build and maintain scalable data pipelines and architectures within the AWS ecosystem Leverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storage Work closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutions Implement and optimise More ❯
with analysts and architects to ensure compliance with government security standards. Troubleshoot and resolve issues in complex cloud environments. Essential Skills Strong experience with AWS services (Glue, Lambda, S3, Redshift, IAM). Proficiency in Python and SQL for data engineering tasks. Knowledge of data modelling, ETL frameworks, and best practices. Familiarity with security and compliance in government or regulated More ❯
with analysts and architects to ensure compliance with government security standards. Troubleshoot and resolve issues in complex cloud environments. Essential Skills Strong experience with AWS services (Glue, Lambda, S3, Redshift, IAM). Proficiency in Python and SQL for data engineering tasks. Knowledge of data modelling, ETL frameworks, and best practices. Familiarity with security and compliance in government or regulated More ❯
in designing, implementing, and maintaining infrastructure using Terraform, demonstrating a deep understanding of IaC principles to ensure scalability, reliability, and security. 2. AWS Expertise: Extensive hands-on experience with Amazon Web Services (AWS), including but not limited to EC2, S3, Lambda, IAM, Redshift, and VPC configurations, along with a thorough understanding of AWS best practices. 3. Git/ More ❯
