data engineer for energy technology

Camlin develops industrial technology and AI-driven systems for the energy sector across more than 20 countries. Its products address predictive maintenance, anomaly detection, asset monitoring, operational intelligence, and energy forecasting.

• Design and build end-to-end data-driven products for the SaaS offering;
• Shape technical solutions with data scientists, product managers, and domain experts;
• Deliver customer-facing features with frontend, backend, and data engineers, including 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;
• 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.

• Knowledge of PySpark and Databricks;
• Experience with CI/CD pipelines;
• Experience building real-world data products;
• Experience working across data engineering systems, not just isolated pipelines;
• Comfortable working with uncertainty and evolving requirements;
• Pragmatic engineering mindset focused on outcomes and business impact;
• Ability to make and communicate trade-offs clearly;
• Systems thinking that connects architecture, product goals, and operational constraints;
• Strong communication skills with technical and non-technical stakeholders;
• Collaborative approach and willingness to challenge assumptions constructively;
• Not a fit for pipeline-only or ETL-focused engineers, candidates who require fully specified requirements, or candidates seeking narrowly scoped responsibilities without product or technical ownership;
• Nice to have: C#/.NET.

• Office role in Belgrade, Serbia.