Digitalization Specialist - Microsoft Power Platform & Python Development

Title:

Job Responsibilities:

• Support the development of digitalization and automation solutions under the guidance of senior team members to meet project and organizational objectives.

• Assist in the design, development, testing, and deployment of applications using Microsoft Power Platform (Power Apps, Power Automate, Power BI, Power Virtual Agents).

• Develop simple Python scripts and basic automation tools to improve engineering and project management processes.

• Support the creation of data dashboards, reports, and visualizations to track project performance and key metrics.

• Learn and apply understanding of EPC project lifecycles to identify potential digitalization and automation opportunities.

• Assist in analyzing existing business processes and documenting improvement or automation opportunities.

• Contribute to workflow automation initiatives to reduce manual tasks and improve operational efficiency.

• Help maintain and enhance automated reporting solutions for project KPIs, cost tracking, and scheduling.

• Participate in continuous improvement initiatives and technical upskilling related to digital tools and platforms.

• Support Project Information Management Functions but not limited to configuration and implementation of Engineering Datawarehouse (Aveva Engineering & ISM)

• Perform Data validation checks and Flag inconsistencies to Engineering and resolve the inconsistencies.

• Perform regular data exchange functions and maintain the same during the course of the project

• Configuration and Implementation of Tag and Data progress measurement

Job Requirements:

• Bachelor’s degree in any engineering discipline.

• Fresh graduates are welcome; no prior work experience required.

• Basic exposure to Microsoft Power Platform (Power Apps, Power Automate, Power BI) through coursework, self-learning, or internships.

• Fundamental knowledge of Python programming and scripting concepts.

• Strong interest in digitalization, automation, and data-driven problem-solving.

• Willingness to learn, adapt, and work collaboratively in a project-based environment.

• Good analytical, communication, and documentation skills.