Graduate - Data Engineering Specialist

About the Role / About the Job
We are looking for a Graduate - Data Engineering Specialist to join our Graduate Program, based in Abu Dhabi. You will play a crucial role in providing digital support for MEP engineering teams, enhancing engineering design processes through data-driven workflows and automation. The position involves analyzing data from a variety of engineering platforms, developing tools for MEP design optimization, and engaging in building performance and engineering analytics. With a focus on innovation and technology implementation, you will contribute to the advancement of practices in MEP engineering and project delivery.

Responsibilities
Digital Support for MEP Engineering Teams

• Collaborate with MEP engineers to integrate digital and data-driven workflows into conventional engineering design processes.
• Develop digital solutions supporting mechanical, electrical and public health engineering activities throughout the project lifecycle.
• Analyze and interpret datasets generated from BIM models, engineering calculations, simulations, and building performance analysis.
• Develop tools and workflows to improve the efficiency, consistency and quality of engineering design and documentation.
• Support MEP design optimization, value engineering, and option analysis through data-driven approaches.
• Generate reports, dashboards, and visualizations to communicate engineering performance and project insights.
• Develop and maintain engineering databases, templates, and digital resources.

Data Management & Analysis

• Collect, structure, clean, and analyze MEP project data to identify trends, opportunities, risks, and areas for improvement.
• Develop data models and analytical workflows to support engineering decision-making.
• Analyze data from BIM models, Revit, engineering calculations, simulation tools, building management systems, and other project platforms.
• Develop automated methods for extracting, processing, and validating engineering data.
• Identify opportunities to apply data analytics, predictive analytics, and machine learning to MEP design, building performance, and project delivery.
• Establish robust data structures and workflows, ensuring data integrity, consistency, and compliance with company standards.
• Develop dashboards and visualizations using Power BI or similar platforms.

MEP Design Automation & Computational Engineering

• Develop automation scripts and digital tools to streamline repetitive MEP engineering tasks.
• Automate engineering calculations, data extraction, model checking, reporting, and design workflows.
• Develop solutions using Python, C#, Dynamo, Grasshopper, VBA, APIs, or other appropriate programming environments.
• Support computational design workflows for MEP systems.
• Connect BIM models with engineering analysis, simulation, and data analytics platforms.
• Develop automated QA/QC processes to identify errors, inconsistencies, and non-compliance within MEP models and engineering data.
• Develop internal engineering tools, libraries, and reusable digital workflows.
• Work with engineers to translate technical requirements into practical digital solutions.

BIM & Digital Engineering

• Work with BIM and digital engineering teams to improve the use of engineering information within BIM models.
• Develop workflows for extracting and analyzing information from platforms such as Revit and Autodesk Construction Cloud.
• Support integration between BIM, engineering analysis, and data platforms.
• Develop and maintain digital engineering standards, templates, and workflows.
• Improve interoperability between engineering and project software platforms.
• Support data-driven BIM and digital delivery strategies.

Building Performance & Engineering Analytics

• Support analysis of building performance data, including energy consumption, thermal comfort, indoor environmental quality, and HVAC system performance.
• Analyze simulation outputs from tools such as IES VE, EnergyPlus, or similar platforms.
• Develop automated workflows for processing large volumes of simulation and engineering data.
• Support data-driven approaches to HVAC system optimization and building performance improvement.
• Identify relationships between design parameters and building performance.
• Explore predictive analytics and machine learning applications to building performance and operational data.

Technology Implementation & Innovation

• Identify emerging technologies, software, and methodologies that could improve MEP engineering and project delivery.
• Develop proof-of-concept solutions and demonstrate their value to engineering teams.
• Provide technical support and training on digital tools, automation, and data workflows.
• Work with other disciplines to identify opportunities for cross-disciplinary digital integration.
• Support the adoption of AI, machine learning, computational design, and automation within the MEP engineering environment.
• Contribute to the development of a digital and innovation culture within the Building Services team.

Qualifications

• Degree or diploma in a relevant field such as Data Science, Data Analytics, Computer Science, Software Engineering, Digital or Computational Engineering, Mechanical or Electrical Engineering, Building Services, or MEP Engineering.
• Strong programming skills, particularly in Python and C#, with experience in data manipulation, automation, and analytical workflows.
• Experience with SQL, Power BI, and data visualization tools.
• Experience with BIM and engineering platforms such as Revit, Autodesk Construction Cloud, Navisworks, IES VE, EnergyPlus, Grasshopper, Rhino, and Dynamo is advantageous.
• Experience developing automation tools using Python, Dynamo, Grasshopper, VBA, APIs, or similar programming environments.
• Understanding of BIM data structures, APIs, and interoperability between engineering software platforms.

Additional Information
At the company, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an office location as a condition of employment.

Benefits
We offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, benefits may include:

• Medical, dental, vision, life, AD&D, and disability benefits
• Paid time off and leaves of absence
• Flexible work options
• Well-being resources and employee assistance program
• Business travel insurance
• Service recognition awards
• Retirement savings plan and employee stock purchase plan

What Makes This a Great Place to Work
You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects that are transforming the industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration, and community—where you have the freedom to grow in a world of opportunity.