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.
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