Graduate Data Engineering - MEP Digital Systems

Job Snapshot

Graduate Data Engineering - MEP Digital Systems Job Snapshot Role: Graduate Data Engineering - MEP Digital Systems Location: Abu Dhabi Emirate, United Arab Emirates Industry: Engineering Function: Engineering Experience: Graduate or entry-level experience Job Type: Full-time

Job Details Country: United Arab Emirates City: Abu Dhabi Emirate Industry: Engineering Function: Engineering Salary: 7000-10000 Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer. Gender: Any Candidate Nationality: Any Job Type: Full-time

Position Overview

Graduate Data Engineering - MEP Digital Systems in Abu Dhabi Emirate, United Arab Emirates is an Engineering opportunity for graduates interested in combining data analytics, programming, BIM and computational technology with building services engineering. AECOM is hiring for its Graduate Program to support MEP engineering teams through automation, digital workflows, engineering analytics and data-driven design solutions across complex building and infrastructure projects.

Role Context

This graduate position sits at the intersection of engineering, data science and digital delivery. The specialist will help mechanical, electrical and public health engineering teams turn project information into practical digital solutions, automate repetitive technical processes and improve how engineering data is collected, analysed and communicated. Working across BIM, computational engineering and building performance environments, the role contributes to faster design evaluation, stronger data quality and more informed engineering decisions. It also provides exposure to emerging applications of artificial intelligence, machine learning and predictive analytics within modern building engineering.

Key Responsibilities

• Collaborate with MEP engineers to introduce digital and data-driven workflows into established engineering design processes.
• Build practical digital solutions supporting mechanical, electrical and public health engineering activities throughout project delivery.
• Collect, structure, clean and analyse information generated by BIM models, calculations, simulations and building performance studies.
• Create analytical workflows and data models that help engineering teams identify trends, risks, optimisation opportunities and design improvements.
• Develop reports, dashboards and visualisations that translate technical datasets into useful project and engineering insights.
• Use Power BI or comparable platforms to present engineering performance information clearly.
• Automate calculations, model checking, reporting, data extraction and other repetitive engineering processes.
• Develop scripts and reusable tools using Python, C#, Dynamo, Grasshopper, VBA, APIs and other suitable programming environments.
• Connect BIM information with engineering analysis, simulation and data analytics platforms.
• Establish automated QA and QC routines capable of identifying inconsistencies, errors and potential non-compliance in engineering models and datasets.
• Extract and analyse information from Revit and Autodesk Construction Cloud while supporting improved interoperability between project systems.
• Maintain engineering databases, digital templates, internal libraries and reusable computational workflows.
• Assist with building performance analysis covering energy consumption, HVAC performance, thermal comfort and indoor environmental quality.
• Process simulation outputs produced through IES VE, EnergyPlus or comparable building performance applications.
• Investigate relationships between design parameters, system configuration and building performance outcomes.
• Explore predictive analytics and machine learning applications for MEP design, operational data and building optimisation.
• Support value engineering and option analysis by applying structured data to design decisions.
• Evaluate emerging software, technologies and methodologies that could improve engineering productivity and project delivery.
• Develop proof-of-concept digital solutions and demonstrate their practical value to engineering teams.
• Help colleagues adopt automation, computational design, AI and data analytics tools through technical guidance and knowledge sharing.

Ideal Profile

A suitable candidate will hold a degree or diploma in Data Science, Data Analytics, Computer Science, Software Engineering, Digital or Computational Engineering, Mechanical Engineering, Electrical Engineering, Building Services, MEP Engineering or another closely related discipline. Strong Python and C# programming capability is particularly valuable, including experience using code for automation, data manipulation and analytical workflows. Knowledge of SQL, Power BI and data visualisation techniques is expected. Exposure to engineering and BIM environments such as Revit, Autodesk Construction Cloud, Navisworks, IES VE, EnergyPlus, Rhino, Grasshopper and Dynamo will strengthen the candidate 's profile. Understanding BIM data structures, software APIs and interoperability between engineering platforms is advantageous. The role is especially suited to a graduate who enjoys solving engineering problems through programming and can translate technical requirements into efficient digital workflows.

Skills Set

• Python
• C#
• SQL
• Power BI
• Data analytics
• Data modelling
• Data visualisation
• Engineering data management
• MEP engineering workflows
• BIM data structures
• Revit
• Autodesk Construction Cloud
• Navisworks
• Dynamo
• Grasshopper
• Rhino
• IES VE
• EnergyPlus
• VBA
• API integration
• Computational engineering
• Engineering workflow automation
• BIM data extraction
• Automated QA and QC
• Building performance analytics
• HVAC performance analysis
• Predictive analytics
• Machine learning applications
• Digital engineering
• Engineering database development
• Design optimisation

Why Join Us

This graduate opportunity provides an entry point into a fast-developing area of Engineering where programming, BIM, automation and data intelligence increasingly influence how buildings are designed and delivered. Working within AECOM 's Graduate Program offers exposure to multidisciplinary projects while developing both conventional engineering knowledge and specialist digital capabilities. The position also creates a strong foundation for careers in computational engineering, digital engineering, BIM automation, building performance analytics and engineering data science. Access to experienced technical teams, structured development programs and large-scale projects can help graduates build expertise in technologies that are becoming increasingly important across the infrastructure and built-environment sectors.

About the Company

AECOM is a global infrastructure consulting firm delivering professional services across buildings, transportation, water, environment and energy. Its multidisciplinary teams provide planning, design, engineering, digital, program and construction management expertise for public- and private-sector projects, with a growing emphasis on sustainable, resilient and technology-enabled infrastructure.