Graduate - Data Engineering Specialist إماراتيين (خلاصة القيد)

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.

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. Experience with SQL, Power BI and data visualisation tools. Experience with BIM and engineering platforms such as Revit, Autodesk Construction Cloud, Navisworks, IES VE, EnergyPlus, Grasshopper, Rhino and Dynamo would be advantageous. Experience developing automation tools using Python, Dynamo, Grasshopper, VBA, APIs or similar programming environments. Understanding of BIM data structures, APIs and interoperability between engineering software platforms.

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.