Data Engineer
3 giorni fa
Parma, Provincia di Parma; Emilia-Romagna, Italia
Camlin Group
Tempo pieno
Gratuito con email o Google
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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 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. 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 a suite of data-driven products. 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
- Noisy and incomplete sensor data
- Sparse labels and uncertain signals
- Large-scale time-series datasets
- Scaling systems into real world solutions
- Translating unclear requirements into practical delivery plans
- 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
- Python
- Apache Spark
- Databricks
- PostgreSQL
- Modern cloud-based data platforms (AWS)
- C#/.NET
- PySpark/Databricks
- CI/CD pipelines
- Knowledge of C#/.NET is a plus
- 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
- Primarily identify as a pipeline-only or ETL-focused engineer
- Prefer fully specified requirements before starting work
- Want narrowly scoped