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26 ENGIE Jobs
Digital Twin & SCADA Integration Engineer
ENGIE
posted 1 week ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Within the Global Business Unit Renewables, we are seeking a technically proficient Digital Twin SCADA Integration Engineer to lead the automation and integration of SCADA data into our digital twin platform. This role is responsible for extracting and validating SCADA tags of Renewable Energy sites (Wind, PV, BESS), and automating the creation of digital twin representations with Azure-based solutions. The ideal candidate will be skilled in industrial automation, cloud integrations, and asset mapping. This position is crucial for our ambition to enhance operational efficiency and improve data accuracy across our renewable energy portfolio.
Responsibilities:
- Data Standardization Validation:
- Define and implement data collection standards based on established templates (eg, Darwins RGBU governance fields).
- Develop and enforce validation routines to detect missing values, duplicates, and data inconsistencies.
- SCADA Data Extraction:
- Normalize vendor-specific naming conventions and automate the export of tags to structured databases (Azure SQL or Azure Storage).
- Digital Twin Creation:
- Extract asset hierarchies from validated data (Substations, Feeders, ITS, Inverters, Array Boxes, Strings, Modules).
- Deliver digital twin structured data in the agreed format to enable its creation in our digital platform
- Maintain traceability by storing mapping data in a centralized repository.
- Collaborate with cross-functional teams to build end-to-end data pipelines that feed into the digital twin platform using Azure Cloud services (Data Factory, Azure Functions, and REST APIs)
- Monitoring Troubleshooting:
- Implement robust error handling and logging mechanisms to monitor data flows and system performance.
- Troubleshoot integration issues, ensuring continuous operation and high data quality.
- Continuous Improvement:
- Research and stay up to date with emerging trends and technologies in site digitization and digital transformation.
- Propose and implement improvements to existing digitization processes.
Interfaces:
- R-GBU HQ
- Countries IT/OT teams
- Countries Construction and OM teams
- OEM representatives
- Internal development and IT teams
Qualifications:
Bachelors or Masters degree in Computer Science, Electrical Engineering, Industrial Automation, or a related field.
Experience :
- 3+ years of hands-on experience in industrial automation, SCADA systems, or digital twin technologies.
- Demonstrated expertise in OPC UA integration, data extraction, and cloud-based data pipelines.
- Experience with digital twin platforms and familiarity with Digital Twins Definition Language (DTDL) is a plus.
Technical Skills:
- Proficiency in programming languages such as Python, C#, or JavaScript.
- Strong knowledge of Azure services including Data Factory, SQL Database, Azure Storage, and IoT Hub.
- Solid understanding of RESTful API integrations and data normalization techniques.
Business Skills:
- Excellent communication and interpersonal skills, with the ability to convey complex technical information to non-technical stakeholders.
- Strong problem-solving skills and attention to detail.
- Ability to work independently and as part of a team in a fast-paced environment.
Behavioral skills:
- Strategic thinking and attention to detail.
- Ability to adapt to new technologies and processes.
- Strong collaboration and teamwork mindset.
- Proven ability to manage multiple projects simultaneously.
- Commitment to continuous learning and process optimization.
Preferred qualifications:
- Experience in the renewable energy sector, particularly with PV site operations
- Familiarity with industrial data security and compliance best practices.
Languages:
- You have an excellent command and fluency in English
Other languages are a plus
Employment Type: Full Time, Permanent
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based on 65 employees
Flexible timing
Monday to Friday
No travel
Day Shift
ENGIE Benefits
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Free Transport 
International Relocation 
Job Training 
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