Senior Data Engineer
Pubblicato il 17-10-2026 - Camlin Group in Parma
About Camlin Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D; projects in a variety of scientific sectors. At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of now, Camlin operates in over 20 countries worldwide. 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. This is a highly hands-on engineering role for someone who enjoys solving difficult data problems in real operational environments. You’ll work closely with domain experts, product stakeholders, and engineers to turn data into reliable systems that create measurable business impact. As a Senior Data Engineer, in addition to technical execution, you will be expected to:
* Take end-to-end ownership of data products, from technical discovery and design. through delivery, operation, and continuous improvement. * Provide technical leadership across initiatives, implementation approaches, and engineering best practices. * Mentor and support engineers through coaching, collaboration, and knowledge sharing. * Drive design and implementation decisions, balancing short-term delivery needs with long-term maintainability and scalability. * Champion high standards of quality, reliability, security, and operational excellence across the platform. What you’ll work on: You’ll help build data products used in energy environments, including: * Predictive maintenance systems for critical infrastructure * Anomaly detection on sensor data * Asset monitoring and operational intelligence platforms * Energy forecasting and time-series modelling systems The work involves complex real-world cons