Data engineer

Camlin develops industrial technology and AI-driven systems used across the energy sector in more than 20 countries. We work on complex real-world problems involving critical infrastructure, industrial sensor networks, and operational intelligence. We are looking for a Senior Data Engineer to help design and deliver data products focused on predictive maintenance, anomaly detection, asset monitoring, and energy forecasting.

• Design and build end-to-end data-driven products that are part of our SaaS offering
• Work closely with data scientists, product managers, and domain experts to shape technical solutions
• Work alongside frontend, backend, and data engineers to deliver customer-facing features, supporting the development of backend APIs and frontend visualizations
• Turn ambiguous business and operational problems into structured engineering plans
• Prototype and validate ideas quickly to reduce technical and product risk early
• Build scalable data pipelines using modern cloud-native tooling
• Influence technical direction, architecture decisions, and product roadmap discussions
• Improve engineering quality, maintainability, and operational reliability across the stack

• PySpark/Databricks
• CI/CD pipelines
• Experience building real-world data products
• Experience working across data engineering systems, not just isolated pipelines
• Comfortable operating in environments with uncertainty and evolving requirements
• Pragmatic engineering mindset focused on outcomes and business impact
• Ability to make and communicate trade-offs clearly
• Systems thinker who can connect architecture, product goals, and operational constraints
• Strong communication skills with both technical and non-technical stakeholders
• Collaborative approach with a willingness to challenge assumptions constructively
• Будет плюсом: Knowledge of C#/.NET is a plus

• Условий в вакансии нет