Senior Python Engineer – Cloud & Data Orchestration Hybrid (1–2 days/week in office) | £140k Package | ️♂️ Security-Cleared or Security Clearable required Location: London | Sector: Intelligence, Analytics & Secure Data | Process: 3 stages Our client is a mission-driven consultancy delivering high-impact intelligence, research, and technical services to governments and private sector clients globally and the brand are well known for making real-world difference. As we continue to expand, we’re hiring a Lead Software Engineer/Founding Engineer to take the reins of a specialist engineering unit delivering microservice-based cloud and data solutions at scale. This is a hands-on technical leadership role where you'll work closely with the CTO, shape architecture and tooling, and directly influence the future of our engineering capability. What You’ll Be Doing Leading a growing team (currently 2 engineers external partners) across complex data and cloud engineering projects Designing and delivering distributed solutions on an AWS-centric stack, with open-source flexibility Working with Databricks, Apache Iceberg, and Kubernetes in a cloud-agnostic environment Guiding architecture and implementation of large-scale data pipelines for structured and unstructured data Steering direction on software stack, best practices, and legacy tech modernisation Collaborating with a multidisciplinary group including intelligence analysts, researchers, and domain specialists Supporting clients working in highly sensitive and secure environments Ideal Background Senior/Lead/Founding Software Engineer, startup/hands on CTO, or Lead Architect experience, ideally in cloud-native or high-scale data environments Strong background in Python and relevant frameworks for data software applications Deep experience with Software Engineering, cloud deployments (especially AWS), and orchestration technologies Proven delivery of big data solutions—not necessarily at FAANG scale, but managing high-volume, complex data (structured/unstructured) Experience working with Databricks, Apache Iceberg, or similar modern data platforms Experience of building software environments from the ground up, setting best practice and standards Experience leading and mentoring teams Worked in a startup/scaleup background and someone that is adaptable Tech Stack Snapshot Languages: Python Cloud: AWS preferred, cloud-agnostic approach encouraged Data: SQL, Databricks, Iceberg, Kubernetes, large-scale data pipelines CI/CD & Ops: Open source tools, modern DevOps principles Why Join? Impactful Work – Help solve security problems that truly matter Ownership & Autonomy – Freedom to shape the stack and drive strategy alongside the CTO Growth – A growing company at the cutting edge of data and intelligence Flexibility – Hybrid and remote-friendly, with minimal in-office requirements