Smart Grid Engineer

Description:

VConnect is an industrial technology enterprise spearheading the modernization of the region's electrical infrastructure. As the demand for clean and sustainable energy solutions continues to rise, our Lead Smart Grid Engineer will play a crucial role in modernizing and optimizing power distribution networks.
By leveraging your technical expertise, problem-solving skills, and innovative mindset, you will contribute to the development of efficient and resilient smart grid systems that meet the energy needs of today and tomorrow. With a focus on deploying our Advanced Metering
Infrastructure (AMI), integrating renewable energy sources, enhancing energy efficiency, and ensuring grid reliability, you will help shape a sustainable future for generations to come from our Dubai headquarters.

Key Responsibilities

● Designing and Planning: Collaborate with multidisciplinary teams to design scalable
smart grid and AMI infrastructure, carefully considering factors such as load balancing,
renewable energy integration, grid stability, and cybersecurity.
● Implementation and Integration: Oversee the installation and integration of smart grid
components—including DLMS/COSEM smart meters, sensors, communication networks, and control systems—ensuring seamless connectivity and interoperability.
● Data Analysis and Optimization: Utilize advanced data analytics techniques to extract insights from smart grid data. Identify usage patterns (including non-technical losses), optimize energy distribution, predict demand, and integrate distributed energy resources
effectively.
● Monitoring and Maintenance: Monitor the performance of smart grid systems, analyze
telemetry data, identify anomalies or potential issues, and implement necessary
maintenance or upgrades to optimize performance and reliability.
● Cybersecurity and Resilience: Ensure the absolute security and resilience of our smart
grid systems by implementing robust cybersecurity measures, developing contingency plans, and conducting thorough risk assessments.
● Collaboration and Stakeholder Engagement: Collaborate directly with utility companies,regulatory bodies, and other key stakeholders to align smart grid projects with strict regulatory requirements, industry standards, and complex customer needs.

Hard Skills & Background Requirements

● Education & Background: Bachelor’s or Master’s degree in Electrical Engineering, Power
Systems Engineering, Renewable Energy, or a similar discipline. Candidates with
experience in utility companies or energy consulting firms are highly sought after.
● Power Systems Knowledge: Strong foundational knowledge of power systems
engineering, including grid infrastructure, electrical distribution, and transmission systems.
● Smart Grid Technologies: Deep proficiency in smart grid technologies (smart meters,
SCADA systems, IoT devices) and communication protocols (specifically DLMS/COSEM, STS, DNP3, and IEC 61850).
● Data & Modeling: Expertise in data analysis and modeling using software tools like Python,R, or MATLAB, alongside knowledge of statistical analysis and machine learning techniques.
● Renewables (DERs): Familiarity with renewable energy integration and distributed energy resources such as solar panels, wind turbines, and energy storage systems.
● Cybersecurity: Strong understanding of cybersecurity principles, network architecture, and encryption methods to ensure the secure operation of AMI systems.
● Project Management: Proficient in project management methodologies and tools to
coordinate and execute massive smart grid projects effectively.

Soft Skills

● Analytical Thinking: Exceptional problem-solving abilities to tackle complex technical challenges and continuously optimize energy distribution systems.
● Effective Communication: Ability to collaborate seamlessly with multidisciplinary teams,
stakeholders, and effectively present complex technical concepts to non-technical audiences.
● Adaptability: A strong willingness to learn and stay continuously updated with the latest technological advancements in the field.
● Attention to Detail: Precision in analyzing large data sets and identifying potential grid
issues.
● Time Management: Proven ability to work under pressure and manage multiple projects simultaneously while consistently meeting strict deadlines.