Datamatics Technologies
Datamatics Technologies is a London-headquartered, privately held IT services firm founded in 2016 that delivers onsite and offshore data analytics and data science solutions. It provides resource augmentation and managed services—on time-and-materials or fixed-price terms—covering data warehousing, BI, ETL, information security, and cloud platform engineering with emphasis on Oracle Cloud. The company serves telecom, finance, government, and manufacturing clients, primarily across the Middle East and Africa.
Open Positions at Datamatics Technologies
26 open positions
Build and maintain custom ESLint rules, plugins, and configurations that improve code quality across large-scale JavaScript and TypeScript codebases. This onsite role supports scalable front-end and e-commerce engineering teams through automated quality checks and linting optimization.
Build and deploy production-ready AI agent applications for enterprise use cases using LLMs, agentic architectures, cloud platforms, and modern AI frameworks. This onsite Stockholm contract role combines hands-on development with AI governance, LLMOps, enterprise integration, and technical leadership.
Build and deploy production-grade AI agent applications for enterprise use cases, combining LLMs, agentic workflows, cloud infrastructure, and governance. This one-year onsite Stockholm contract emphasizes scalable, secure, and responsible AI delivery.
Build and deploy production-ready AI agent applications for enterprise use cases, using agentic architectures, LLM frameworks, cloud platforms, and enterprise integrations. This onsite Stockholm contract emphasizes scalable delivery, LLMOps, responsible AI, and regulated-industry readiness.
Build and scale agentic AI applications that solve enterprise problems in regulated banking environments. This role combines hands-on agent development, evaluation and safety engineering, cloud deployment, and stakeholder-led delivery from concept through production.
Build and industrialize agentic AI applications that solve business problems in regulated banking environments. This role owns delivery from concept through production while improving quality, cost, latency, safety, and adoption.
Build and industrialize agentic AI applications for regulated private banking environments, taking solutions from business problem framing through production operation. The role combines hands-on agent development, responsible AI governance, stakeholder partnership, and continuous improvement.
Build and scale agentic AI applications that solve enterprise problems, integrate with banking systems, and operate safely in a regulated environment. This hands-on role combines AI product delivery, software engineering, evaluation, and responsible AI governance.
Hands-on Data Platform Engineer responsible for deploying, administering, and supporting enterprise data platforms across on-premises Development, QA, and Production environments. The role combines platform operations, VMware infrastructure, Git integration, enterprise security, and container technologies.
Lead the architecture and delivery of cloud-native, backend, and Generative AI solutions using GCP, BigQuery, Python, FastAPI, and OpenAI APIs. This hybrid Stockholm role combines hands-on engineering with technical leadership, team mentorship, and enterprise solution delivery.
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