Graduate Data Engineer: BIM, MEP Digital Systems

AECOM Middle East Ltd; Al Ruways Industrial City; On-site; AED 100,000 - 156,000; Full time

Job summary

Graduate Data Engineer - MEP Digital Systems in Abu Dhabi, UAE, an IT and Services opportunity for UAE National graduates, focusing on data engineering, BIM automation, and digital transformation within MEP projects.

Role intersects software development and engineering data; you will build data pipelines, dashboards, and QA/QC for BIM-based workflows, leveraging Revit, Dynamo, and EnergyPlus tools in a live project environment.

Qualifications

• UAE National with a valid family book.
• Degree or diploma in Data Science, Data Analytics, Computer Science, Software Engineering, Digital Engineering, Computational Engineering, Mechanical Engineering, Electrical Engineering, Building Services, MEP Engineering, or a related discipline.
• Graduate-level candidate with strong interest in applying software and data engineering to real-world engineering problems.
• Strong programming capability in Python and C#.
• Practical understanding of data manipulation, automation, analytical workflows, and software development principles.
• Experience with SQL, Power BI, and data visualization tools.
• Familiarity with BIM and digital engineering platforms such as Revit and Autodesk Construction Cloud is advantageous.
• Exposure to Navisworks, IES VE, EnergyPlus, Grasshopper, Rhino, or Dynamo is beneficial.
• Understanding of BIM data structures, software APIs, and engineering system interoperability.
• Experience developing automation through Python, Dynamo, Grasshopper, VBA, APIs, or similar environments is highly valuable.
• Interest in machine learning, predictive analytics, computational design, and engineering innovation.
• Able to communicate effectively with engineers and translate technical requirements into usable digital solutions.

Responsibilities

• Collaborate with MEP engineers to introduce digital and data-driven methods into conventional engineering design workflows.
• Develop practical software tools that support mechanical, electrical, and public health engineering throughout the project lifecycle.
• Extract, organize, clean, validate, and analyze data generated from BIM models, engineering calculations, simulations, and project systems.
• Build automated workflows that reduce manual effort in engineering calculations, reporting, model checking, and data processing.
• Develop applications and scripts using Python, C#, Dynamo, Grasshopper, VBA, APIs, or other suitable technologies.
• Create data models and analytical processes that help engineering teams evaluate options, risks, performance, and design efficiency.
• Produce Power BI dashboards and technical visualizations that communicate engineering metrics and project insights clearly.
• Maintain engineering databases, templates, reusable code components, libraries, and digital resources.
• Support value engineering and MEP design optimization through structured data analysis and comparison of design alternatives.
• Connect BIM platforms with simulation, engineering analysis, reporting, and data analytics systems.
• Develop automated QA/QC checks for errors, inconsistencies, missing information, and non-compliance within engineering models and datasets.
• Work with Revit and Autodesk Construction Cloud data to improve access to engineering information and digital project intelligence.
• Improve interoperability between BIM, engineering applications, project platforms, and analytical environments.
• Analyze building performance information including energy use, thermal comfort, indoor environmental quality, and HVAC system performance.
• Process outputs from building simulation applications such as IES VE, EnergyPlus, or equivalent software.
• Explore relationships between engineering design variables and building performance outcomes.
• Investigate potential applications of predictive analytics and machine learning in MEP design and building operations.
• Develop proof-of-concept solutions for emerging digital technologies and demonstrate their practical value to engineering teams.
• Support adoption of AI, computational design, automation, and advanced analytics within building services engineering.
• Provide technical guidance and basic training to engineers using newly developed digital tools and workflows.

Skills

Python

C#

SQL

Power BI

Data engineering

Data analytics

Data visualization

Software development

Engineering automation

MEP digital engineering

BIM automation

Revit

Autodesk Construction Cloud

Navisworks

Dynamo

Grasshopper

Rhino

VBA

API development

BIM data structures

Computational engineering

Computational design

Engineering databases

Data modeling

Data validation

Automated QA/QC

Building performance analytics

IES VE

EnergyPlus

HVAC performance analysis

Energy data analysis

Predictive analytics

Machine learning

Dashboard development

Digital workflow development

Engineering software interoperability

Technical data processing

Education

Degree or diploma in Data Science, Data Analytics, Computer Science, Software Engineering, Digital Engineering, Computational Engineering, Mechanical Engineering, Electrical Engineering, Building Services, MEP Engineering

Tools

Revit

Autodesk Construction Cloud

Navisworks

Dynamo

Grasshopper

Rhino

IES VE

EnergyPlus

APIs

Job description

Graduate Data Engineer - MEP Digital Systems in Abu Dhabi, UAE, an IT and Services opportunity for UAE National graduates, focusing on data engineering, BIM automation, and digital transformation within MEP projects.

Role intersects software development and engineering data; you will build data pipelines, dashboards, and QA/QC for BIM-based workflows, leveraging Revit, Dynamo, and EnergyPlus tools in a live project environment.