Data Engineer - Energy Data Modelling

Location: Parma, Italy

Company

hirify.global is a global technology company developing products and services for power, rail, and scientific R&D applications.

What you will do

• Work with engineering and domain experts to understand electrical assets, components, characteristics, relationships, and operating conditions.
• Design structured data models for assets, hierarchies, components, measurements, events, and relationships.
• Translate engineering knowledge into data structures, transformations, calculations, derived measurements, indicators, and reusable logic.
• Develop SQL and Python transformations for sensor, time-series, telemetry, and operational data.
• Define data quality, consistency, validation, and testing controls for physical-asset models.
• Collaborate with data scientists, engineering experts, and software teams to integrate analytical capabilities into customer-facing products.

Requirements

• Degree in Computer Science, Data Engineering, Engineering, Mathematics, or a related technical discipline.
• Experience in data engineering and data modelling.
• Strong SQL and Python programming skills.
• Experience designing data models, structuring complex datasets, and developing data transformations.
• Ability to understand complex real-world systems, components, and relationships and translate them into structured data models and reusable logic.
• Experience working with interconnected datasets and defining relationships between data entities.
• Good understanding of data quality, validation, consistency, and testing.
• Structured problem-solving approach with attention to detail and maintainability.
• Ability to collaborate effectively with domain experts and engineering, data, and software teams.

Nice to have

• Energy-sector experience, particularly with electrical networks, power systems, or electrical infrastructure.
• Knowledge of electrical assets such as transformers, switchgear, substations, or overhead lines.
• Experience modelling physical assets, asset hierarchies, components, measurements, and relationships.
• Experience with sensor, time-series, telemetry, or operational data.
• Experience translating engineering concepts into calculations, derived measurements, and reusable logic.
• Familiarity with analytical modelling, feature engineering, or data science workflows.
• Experience developing data models and analytical capabilities for software products.

Culture & Benefits

• Full-time employment within the Data Solutions department.
• Collaboration across engineering, data, software, and domain teams.
• Values include teamwork, learning through listening, challenging established approaches, and making responsible decisions.
• The role is available at both mid-level and senior level, with responsibilities reflecting experience.