Energy Data Engineer: Asset Modeling & Analytics

Camlin Group; Parma; Presencial; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

Camlin Group in Parma, Italy, is seeking a Data Engineer with strong data modeling and analytical data skills. You will work closely with engineering and domain experts to understand electrical assets and translate this knowledge into structured data models.

The role focuses on meaning of data, handling sensor, time-series, telemetry data, and building reusable data models and logic. We welcome mid to senior level candidates, with emphasis on data modelling and problem solving.

Formación

• Experience in data engineering and data modeling.
• Strong SQL and Python skills.
• Ability to translate real-world systems into data models.
• Experience designing data models and transformations.
• Collaborative across engineering, data and software teams.

Responsabilidades

• Understand electrical assets and translate into data models.
• Design structured data models representing assets, hierarchies and components.
• Translate engineering concepts into data structures and reusable logic.
• Develop data transformations using SQL and Python for sensor/time-series data.
• Define derived measurements and validation rules for data quality.
• Ensure data models accurately reflect assets and behaviours.
• Own modelling approaches from requirements to documentation.
• Collaborate with data scientists and software teams to integrate analytics.

Conocimientos

SQL

Python

Data modelling

Data engineering

Problem solving

Educación

Degree in Computer Science / Data Engineering / Engineering / Mathematics

Herramientas

Apache Spark

PySpark

Databricks

Descripción del empleo

Camlin Group in Parma, Italy, is seeking a Data Engineer with strong data modeling and analytical data skills. You will work closely with engineering and domain experts to understand electrical assets and translate this knowledge into structured data models.

The role focuses on meaning of data, handling sensor, time-series, telemetry data, and building reusable data models and logic. We welcome mid to senior level candidates, with emphasis on data modelling and problem solving.