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.