AWS Data Engineer

UBDS Group; Manchester; Presencial; GBP 80.000 - 105.000; Jornada completa

Descripción de la vacante

UBDS Group is seeking an experienced AWS Data Engineer to join our Manchester consultancy. The role focuses on designing, building and maintaining scalable data pipelines and infrastructure using AWS-native services.

You will work across data orchestration, automation and containerisation, delivering secure, high-performance data solutions for clients with active SC clearance requirements. This client-facing position is hands-on and requires strong problem solving.

Formación

• 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 (Redshift, Glue, Lambda, Step Functions, Batch, OpenSearch).
• Experience with CI/CD, Git and YAML configurations.
• Good understanding of AWS security, IAM RBAC.

Responsabilidades

• Design, develop and maintain scalable data pipelines using Python, SQL and Airflow.
• Build and optimise cloud-based data solutions using AWS services (Redshift, Glue, Lambda, Step Functions, Batch, OpenSearch).
• Develop and manage containerised applications and workflows with Docker.
• Implement and maintain data orchestration processes for reliable data processing.
• Collaborate with engineering teams and stakeholders to deliver secure, scalable data infrastructure.
• Monitor, troubleshoot and optimise data pipeline performance.
• 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 CI/CD improvements.

Conocimientos

AWS Data Eng

Python

SQL

Airflow

Docker

CI/CD

Git

YAML

Security RBAC

Agile

Herramientas

Terraform

Confluence

GitLab

Descripción del empleo

Contract Rate: up to £500 per day (Inside IR35)

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.
• 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.

If you're an experienced AWS Data Engineer with active SC Clearance looking for a new opportunity and the chance to work on challenging cloud and data projects,