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AWS Data Engineer

Skills

agileairflowathenaautomationawsci cdcloudcloudformationcloudtrailcloudwatchconfluencecontainerizationdata engineeringdata pipelinesdata qualitydockergitgitlabiaminfrastructure as codelambdaopensearchpythonrbac

Description

AWS Data Engineer – SC Cleared

Active SC Clearance required

We’re looking for experienced AWS Data Engineers to join a growing technology consultancy delivering complex cloud and data solutions.

This is a hands-on engineering role focused on designing, building and maintaining scalable data pipelines and infrastructure using AWS-native services. You'll work across data orchestration, automation and containerisation, helping deliver secure, reliable and high-performance data solutions.

We're open to candidates at different experience levels who have strong AWS data engineering expertise and enjoy solving complex technical challenges.

Key responsibilities:

  • Design, develop and maintain scalable data pipelines using Python, SQL and Apache Airflow.
  • Build and optimise cloud-based data solutions using AWS services including Redshift, Glue, Lambda, Step Functions, Batch and OpenSearch.
  • Develop and manage containerised applications and workflows using Docker.
  • Implement and maintain data orchestration processes, ensuring efficient and reliable data processing.
  • Collaborate with engineering teams and stakeholders to deliver secure, scalable data infrastructure.
  • Monitor, troubleshoot and optimise data pipeline performance and reliability.
  • Work with GitLab or similar tools for version control and CI/CD.
  • Ensure data quality, governance and security best practices are followed.
  • Contribute to technical documentation, automation and continuous improvement initiatives.

We're looking for someone with:

  • Strong hands-on experience in AWS Data Engineering.
  • Excellent Python programming skills and strong SQL proficiency.
  • Experience using Apache Airflow for workflow orchestration and DAG management.
  • Practical experience with Docker and containerisation.
  • Strong knowledge of AWS data services, particularly Redshift, Glue, Lambda, Step Functions, Batch and OpenSearch.
  • Experience with CI/CD pipelines, Git and YAML-based configurations.
  • Good understanding of AWS security, IAM policies and role-based access control (RBAC).
  • Strong problem-solving skills and the ability to troubleshoot complex data engineering issues.
  • Experience working in Agile environments and collaborating with cross-functional teams.
  • Good communication and stakeholder management skills.

Desirable experience:

  • Additional AWS services such as Athena, SQS, CloudWatch, CloudTrail and EMR.
  • Infrastructure as Code tools such as Terraform or CloudFormation.
  • Experience working in consultancy or client-facing environments.
  • Familiarity with technical documentation tools such as Confluence.

Security Clearance requirements:

  • Must hold active SC Clearance.
  • Must be able to maintain the required level of security clearance throughout the engagement.

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