Job Description:

Python Software Developer (SC Cleared)
Location: Manchester, Leeds, Newcastle, Birmingham, London
Contract :6 Months
Security Requirement
Active SC Clearance required
 
Overview
We are seeking experienced Python Software Developers to support the delivery of large-scale analytics and data-driven solutions within a secure enterprise environment. The successful candidates will work on cloud-based platforms, data processing pipelines, and secure integrations while collaborating with cross-functional engineering and platform teams.
This role is ideal for professionals with strong Python development expertise, cloud engineering experience, and exposure to modern DevOps and data engineering practices.

Must Have:
AWS services; Terraform; Apache Spark; Python; Apache Airflow; Docker; GitLab; Security scanning agent; Jupyter; Notebooks; 
 
Key Responsibilities

• Design, develop, and maintain scalable Python applications and services
• Build and optimize cloud-native data processing pipelines
• Develop and manage workflows using orchestration tools such as Airflow
• Work with large-scale data processing frameworks including Apache Spark
• Deploy and maintain containerized applications using Docker
• Implement infrastructure automation using Terraform
• Integrate solutions with enterprise data and secure file transfer systems
• Collaborate with DevOps, security, and infrastructure teams to ensure secure and reliable deployments
• Contribute to CI/CD pipelines and source control management using GitLab
• Support vulnerability management and security scanning processes
• Create technical documentation and provide knowledge-sharing support where required
• Participate in Agile ceremonies and collaborative engineering activities

 
Required Skills & Experience

• Strong hands-on experience with Python development
• Experience working with AWS cloud services
• Proven experience with Terraform and Infrastructure as Code (IaC)
• Strong knowledge of Apache Spark
• Experience with Apache Airflow or similar orchestration tools
• Hands-on experience with Docker and containerized environments
• Experience using GitLab for version control and CI/CD pipelines
• Understanding of security scanning and vulnerability management tools such as Trivy, Trend Micro, Wiz, or similar
• Experience working with Jupyter Notebooks
• Familiarity with secure enterprise integrations and data transfer solutions
• Strong problem-solving and debugging skills
• Excellent communication and stakeholder collaboration skills

 
Preferred Experience

• Experience working within secure or regulated environments
• Exposure to large-scale analytics or data platform projects
• Previous experience in public sector or enterprise-scale environments
• Understanding of cloud security best practices

 
Working Arrangement
Hybrid working model
Approximately 60% onsite presence required in Newcastle
Remaining days remote, depending on project requirements
 
Clearance Requirement
Candidates must hold active SC Clearance or be eligible to obtain clearance.