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