Company Overview:

Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics.

Sidara operates in 60 countries with 21,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at Dar website.

One of our newest ventures is Para – an all-in-one digital twin solution that leverages artificial intelligence, state-of-the-art IoT and smart devices, 3D visualization platforms, and extensive data analytics to empower clients to generate more value out of their assets. Para is a fast-growing and built on the exceptional experience and technical expertise of its parent company Dar in delivering over 4,500 building and infrastructure projects.

As a global leader in consulting, engineering, we specialize in highly technical smart and mission-critical buildings that include high performance mechanical and electrical systems. We are currently seeking a performance-driven, highly motivated Digital Solutions Engineer.

Our Vision and Values:

We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:

• Excellence
• Responsibility
• Empowerment
• Connectivity
• Courage

Job Summary:

You will conduct energy analytics to inform planning and operations, integrating internal and external facility datasets. Using modern data tools, you’ll collect, validate, analyze, and visualize results for technical and executive audiences. Project examples include analysis of facility energy and asset data to identify energy and cost-saving opportunities and/or the optimal location for distributed energy resources, analysis to assess energy efficiency potential across different end-use sectors, and statistical modeling to estimate the energy and environmental impacts Energy optimization measures.

Responsibilities:

• Conducts primary and secondary data collection; compiles and maintains databases such as inventory of buildings and assets, energy and operational use, and energy efficiency project performance.
• Performs energy tracking, monitoring, and analysis to identify energy and cost-saving opportunities.
• Analyzes, interprets, and communicates data from sources such as utility meters and bills, facility operations, and public data to reach conclusions and make recommendations.
• Organizes and performs statistical modeling to identify energy trends or deviations, support energy planning, and forecast utility consumption and budgets.
• Uses software and data tools to manage and visualize data for analysis and reporting, including customizing software and tools to align with the organization’s goals, needs, and conditions.
• Plans, designs, and conducts analysis to support program implementation, such as identifying Significant Energy Users (SEUs) within a facility and calculating the Energy Use Intensity of different facilities.
• Writes clear and concise descriptions of data, methodology, and results for inclusion in reports and presentations; prepares and presents results; creates support documentation for software and tools.

Requirements:

Educational Background:

• Bachelor’s degree in mechanical engineering, electrical engineering, telecommunication engineering, or a related field. Advanced degrees are a plus.

Technical Knowledge and Skills:

• Experience organizing and analyzing energy data.
• Understanding of building design and energy use concepts and metrics.
• Experience applying a range of statistical analyses to practical decision-making contexts.
• Experience using web-based data visualization tools (e.g., Tableau, Power BI, D3, Google Charts).
• Experience with predictive modeling, data mining, or machine-learning techniques would be a plus.
• Experience using Python, R, SQL, MATLAB, or other programming languages to analyze data sets would be a plus.

Professional Attributes:

• Strong teamwork skills with the ability to work across disciplines.
• Excellent organizational and multitasking abilities to manage complex projects.
• Effective communication skills, including presenting technical solutions and engaging stakeholders.

Additional Qualifications:

• Applied knowledge of HVAC systems, electrical metering/instrumentation, and BMS/SCADA sequences of operation.
• Energy credentials preferred: CEM or CEA; CMVP (IPMVP) for M&V. Pluses: ASHRAE BEAP/BEMP.

Kind Note:

* While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest.

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