Graduate - Data Engineering Specialist إماراتيين (خلاصة القيد)

Role overview

Digital support for MEP engineering

• Collaborate with MEP engineers to integrate digital and data-driven workflows into conventional engineering design processes.
• Develop digital solutions for mechanical, electrical, and public health engineering activities throughout the project lifecycle.
• Develop tools and workflows to improve the efficiency, consistency, and quality of engineering design and documentation.
• Generate reports, dashboards, and visualisations to communicate engineering performance and project insights.
• Develop and maintain engineering databases, templates, and digital resources.

Data management and analysis

• Collect, structure, clean, and analyse MEP project data to identify trends, opportunities, risks, and improvement areas.
• Develop data models and analytical workflows to support engineering decision-making.
• Analyse 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.
• Develop dashboards and visualisations using Power BI or similar platforms.

Design automation and computational engineering

• Develop automation scripts and digital tools for 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.
• Develop automated QA/QC processes and reusable engineering tools, libraries, and digital workflows.
• Translate technical requirements from engineers into practical digital solutions.

BIM and digital engineering

• Develop workflows for extracting and analysing information from Revit and Autodesk Construction Cloud.
• Support integration between BIM, engineering analysis, simulation, and data platforms.
• Maintain digital engineering standards, templates, and workflows.
• Improve interoperability between engineering and project software platforms.

Building performance analytics

• Support analysis of energy consumption, thermal comfort, indoor environmental quality, and HVAC system performance.
• Analyse simulation outputs from IES VE, EnergyPlus, or similar platforms.
• Develop automated workflows for processing large volumes of simulation and engineering data.
• Support data-driven HVAC optimisation and explore predictive analytics and machine learning applications.

Requirements

• Graduate-level position within AECOM's Graduate Program.