Data Engineer in Solution Team

Join our Solution Team to build secure, scalable data platforms and integrations for mission-critical Defence use cases. You will design and operate data flows that connect operational systems with analytics and AI, enabling fast, reliable decisions.

Requirements

• Design, build, and run robust batch and streaming data pipelines across cloud and on-prem environments
• Develop integrations and APIs: REST, SOAP, JSON, XML, and event-driven solutions
• Implement authentication and federated identity: OIDC, OAuth, SAML, Kerberos
• Engineer for security by default: certificate management, secrets handling, and end-to-end encryption
• Shape platform architecture: reverse proxy patterns, load balancing, VMs, and Kubernetes-based deployments
• Model and optimize datasets in SQL Server, PostgreSQL (or similar), and data lakes
• Develop ETL/ELT with Apache Spark and Databricks (or equivalent)
• Enable BI & Analytics with Qlik, partnering with analysts and domain experts
• Support AI use cases (LLM, object detection, text analytics) with reliable data foundations
• Apply CI/CD, Git, and DevOps practices for high-quality, repeatable delivery
• Monitor, observe, and continuously improve data services for performance, cost, and resilience
• Collaborate closely with product, platform, security, and stakeholder teams to deliver clear outcomes

Benefits

• Flexible hybrid work model
• Competitive salary
• Comprehensive benefits package