AWS Data Engineer
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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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