Black & Grey HR is partnering with one of the UAEs established construction and infrastructure companies to hire an experienced Digital Engineer for their Technical & Digital Delivery team. The role will focus on developing implementing and supporting digital and computational engineering solutions across projects and business functions within a main contracting environment. The ideal candidate will work across software development automation computational design Power BI AI-enabled solutions BIM/data integration and enterprise applications ensuring that digital solutions meet business engineering quality security and performance requirements.
Key Responsibilities:
Software Development & System Integration:
- Develop maintain and support desktop applications web applications engineering tools APIs and system integrations using C# Python SQL and related development frameworks.
- Integrate engineering applications enterprise platforms BIM systems and Microsoft technologies to improve information flow and digital workflows.
- Support software interoperability and system integration across engineering and business platforms.
Computational Engineering & Design Automation:
- Develop computational engineering workflows using Dynamo Grasshopper Python C# and other visual programming or scripting technologies.
- Create parametric and generative design solutions automated model-checking processes and design-validation routines.
- Develop reusable scripts plugins macros add-ins templates and internal engineering tools.
- Support data exchange and interoperability between BIM design analysis planning and enterprise systems.
Automation & Digital Solutions:
- Develop and maintain RPA Microsoft Power Platform Power Automate Power Apps and engineering workflow automation solutions.
- Automate repetitive engineering data-processing reporting document-analysis and validation activities.
- Support AI-enabled solutions digital innovation initiatives and continuous improvement projects.
Data Analytics & Business Intelligence:
- Develop Power BI dashboards reports and data models to support business intelligence engineering analytics performance monitoring and decision-making.
- Build automated processes for data collection validation transformation and reporting.
- Analyze engineering and project data to identify trends performance issues optimization opportunities and actionable insights.
Microsoft Platform & Collaboration Solutions:
- Develop and support Microsoft 365 SharePoint Power Apps Power Automate Microsoft Teams and related applications.
- Enhance collaboration information management engineering workflows and business process automation through Microsoft technologies.
BIM & Engineering Data Integration:
- Develop and support integrations between BIM models engineering applications analytical tools and structured project data.
- Support Revit API Autodesk Platform Services IFC/open-BIM workflows and related technologies where required.
Engineering Analysis & Value Engineering Support:
- Support engineering teams with computational analysis of tender documents project requirements models and technical data.
- Identify design risks inconsistencies and optimization opportunities.
- Develop digital and computational tools to support option studies design comparisons constructability reviews and Value Engineering (VE) assessments.
Stakeholder Support & Solution Delivery:
- Work closely with engineering disciplines project teams and business stakeholders to understand requirements and develop suitable digital and computational solutions.
- Conduct testing deliver user training and provide technical support throughout the solution lifecycle.
Quality Documentation & Continuous Improvement:
- Ensure software computational workflows scripts automation solutions and reports comply with development engineering security documentation and quality standards.
- Maintain source code scripts workflows technical documentation test records and version control.
- Monitor solution performance prepare progress reports and identify opportunities for further digital computational and process improvements.
- Bachelors degree in Computer Science Software Engineering Computer Engineering Information Technology Computational Engineering or Civil/Structural/Mechanical Engineering with strong programming capability.
- 37 years of experience in software development digital engineering computational engineering automation or digital transformation initiatives.
- Experience developing desktop/web applications engineering tools APIs and system integrations using C# Python SQL and related frameworks.
- Experience developing computational design or engineering automation workflows using Dynamo Grasshopper Python C# or equivalent technologies.
- Experience delivering automation solutions using Microsoft Power Platform Power Automate Power Apps RPA and workflow automation technologies.
- Strong experience in Power BI data modelling data analytics dashboard development and automated reporting.
- Knowledge of parametric/generative design engineering data integration automated model validation software interoperability and BIM/data workflows.
- Knowledge of Microsoft 365 SharePoint Microsoft Teams and Azure is preferred.
- Knowledge of SDLC Git/Azure DevOps REST APIs database design cybersecurity and structured software development practices.
- Experience with AI/LLM solutions OpenAI/Azure AI Services Revit API Autodesk Platform Services IFC/open-BIM workflows cloud platforms and Agile methodologies would be an advantage.
- Attractive Salary & Benefits
Required Skills:
Experience developing desktop/web applications engineering tools APIs and system integrations using C# Python SQL and related frameworks. Experience developing computational design or engineering automation workflows using Dynamo Grasshopper Python C# or equivalent technologies. Experience delivering automation solutions using Microsoft Power Platform Power Automate Power Apps RPA and workflow automation technologies. Strong experience in Power BI data modelling data analytics dashboard development and automated reporting. Knowledge of parametric/generative design engineering data integration automated model validation software interoperability and BIM/data workflows. Knowledge of Microsoft 365 SharePoint Microsoft Teams and Azure is preferred. Knowledge of SDLC Git/Azure DevOps REST APIs database design cybersecurity and structured software development practices. Experience with AI/LLM solutions OpenAI/Azure AI Services Revit API Autodesk Platform Services IFC/open-BIM workflows cloud platforms and Agile methodologies would be an advantage.
Required Education:
Bachelors degree in Computer Science Software Engineering Computer Engineering Information Technology Computational Engineering or Civil/Structural/Mechanical Engineering with strong programming capability.
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