Teams at Data Intellect

Develop and enhance bespoke Python backend services, collaborate with clients on architecture and design, implement best-practice solutions, use appropriate tools/frameworks, write automated tests, manipulate complex datasets, share knowledge, and work in cross-functional teams to deliver clean, efficient software.

The Data Engineer role involves implementing and optimizing SaaS data products, designing integration patterns, and providing technical leadership while collaborating with stakeholders.

Senior DevOps Engineer responsible for implementing, optimising, and supporting containerised trade-surveillance platforms. Deploy and administer Kubernetes/Helm clusters, design secure on‑prem and AWS infrastructure with IaC, build CI/CD pipelines, and implement monitoring (Prometheus/Grafana/ELK). Troubleshoot infrastructure, databases, and networking; liaise with clients and engineering teams to deliver enterprise solutions.