Full-Stack Data Engineer (Security Cleared)

The Role

We are hiring Full-Stack Data Engineers across multiple levels (Junior through Senior Manager) to design, build, and deliver secure, scalable data solutions for complex client environments.

This is a hands-on engineering role where you will work across data ingestion, transformation, operational workflows, and decision-support systems. You’ll partner closely with client stakeholders to translate ambiguous problem statements into robust, production-ready solutions.

Engineers in this role combine strong software fundamentals with a consultative mindset, contributing both technically and strategically to long-term client outcomes.

Key Responsibilities

• Solution Design: Analyse complex client challenges and architect secure, scalable data and workflow solutions.
• Data Engineering: Build and maintain robust data pipelines, integrations, and transformation processes to support analytics and operational use cases.
• Workflow Development: Design and implement operational workflows and decision-support tools that improve how organisations operate day-to-day.
• Applied AI & Analytics: Collaborate with specialists to integrate machine learning and advanced analytics into real-world systems.
• Engineering Excellence: Write high-quality, maintainable code and contribute to scalable system design across the stack.
• Mentorship & Knowledge Sharing: Support junior engineers, promote best practices, and contribute to internal capability development.
• Client Partnership: Work closely with client teams, building trusted relationships and acting as a technical advisor throughout delivery.

Required Skills & Experience

• Strong experience in software and data engineering, with proficiency in:
• Python
• SQL
• TypeScript (or similar modern frontend/backend languages)
• Solid understanding of:
• Data pipelines and ETL processes
• Workflow orchestration and system integration
• Designing solutions in complex, regulated environments
• Experience working with large-scale data platforms or decision-support systems (vendor-specific tools not required).
• Strong problem-solving skills and the ability to communicate clearly with both technical and non-technical stakeholders.
• Interest in AI, machine learning, and emerging technologies, with practical application in production systems.

Security Clearance (Essential)

🚨 Active security clearance is a strict requirement for this role.

Candidates must:

• Hold current, valid security clearance (level to be discussed during screening), or
• Be eligible and willing to maintain clearance long-term.

Due to the nature of the work, applications without appropriate clearance or eligibility cannot be considered.