Graduate - Data Engineering Specialist إماراتيين (خلاصة القيد)

AECOM · Abu Dhabi, UAE, United Arab Emirates

  • Junior
  • Part-time
  • Posted 2026-09-09
  • Confirmed live on 25 September 2026

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Job description

Job Description
We are looking for Graduate - Data Engineering Specialist to join our AECOM's Graduate Program to be based in Abu Dhabi.
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.

• Analyse 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 optimisation, value engineering and option analysis through data-driven approaches.

• Generate reports, dashboards and visualisations to communicate engineering performance and project insights.

• Develop and maintain engineering databases, templates and digital resources.
Data Management & Analysis

• Collect, structure, clean and analyse MEP project data to identify trends, opportunities, risks and areas for improvement.

• 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.

• 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 visualisations 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 analysing 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.

• Analyse 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 optimisation 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
• UAE national with family book.

• Degree or diploma in a relevant field such as Data Science / Data Analytics Computer Science / Software Engineering Digital or Computational Engineering Mechanical / Electrical Engineering Building Services / MEP Engineering or a related discipline.

• Strong programming skills, particularly in Python and C#, with experience in data manipulation, automation and analytical workflows.

• Experien

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