Senior Engineer, Data Engineering
Pubblicato il 02-10-2026 - Camlin Group in Sicilia
About Camlin Group: Scorra verso il basso per una panoramica completa dei requisiti di questo lavoro. È la persona giusta per questa occasione?
Camlin develops industrial technology and AI-driven systems used across the energy sector in more than 20 countries. We work on difficult real-world problems involving critical infrastructure, industrial sensor networks, and operational intelligence.
We are looking for a Senior AI & Data Engineer to help design and deliver AI and data products focused on predictive maintenance, anomaly detection, asset monitoring, and energy forecasting. This is a hybrid working permanent role (3 days on-site, 2 days work from home).
This is a highly hands-on engineering role for someone who enjoys solving difficult AI and 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.
We are looking for someone who can combine strong technical execution with the ability to bring structure, clarity,
and momentum to complex engineering initiatives. You'll play an important role in shaping technical plans and driving delivery across AI and data projects.
What you'll work on:
You'll help build AI and 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
Production ML systems operating on large-scale multimodal datasets
The work involves difficult real-world constraints:
Noisy and incomplete sensor data
Sparse labels and uncertain signals
Large-scale time-series datasets
Scaling AI systems into real world solutions
Translating unclear requirements into practical delivery plans
What you'll do:
Design and build AI and data systems from early concept through model creation
Work closely with data scientists, product