Title:
Digitalization Specialist - Microsoft Power Platform & Python DevelopmentSeeking a highly skilled Senior Digitalization Specialist with up to 5 years of experience to support digital transformation initiatives using Microsoft Power Platform and Python development. The successful candidate will play a pivotal role in modernizing our EPC operations, optimizing project workflows, and implementing innovative digital solutions across various Energy projects.
Job Responsibilities:
Digital Solution Development
Design, develop, and deploy enterprise-grade applications using Microsoft Power Platform (Power Apps, Power Automate, Power BI, Power Virtual Agents)
Create custom Python applications and automation scripts for complex engineering and project management workflows
Develop data analytics and visualization solutions to support project decision-making and performance monitoring
Understanding of EPC project lifecycles to identify digitalization opportunities across engineering, procurement, and construction phases
Analyze existing business processes and identify opportunities for digital transformation and automation
Design and implement workflow automation solutions to reduce manual effort and improve project efficiency
Develop automated reporting systems for project KPIs, cost tracking, and schedule management
Data Management & Analytics
Design and implement data governance frameworks for project and operational data
Develop Python-based ETL processes for data integration from multiple sources
Create advanced analytics and machine learning models to improve Engineering efficiency
Build comprehensive dashboards and reporting solutions using Power BI for stakeholder visibility
Job Requirements:
Bachelor's degree in Engineering, Computer Science, or related technical field
Candidates with up to 5 years of professional experience in software development and digitalization
Good proficiency in Microsoft Power Platform suite (Power Apps, Power Automate, Power BI, Power Virtual Agents)
Advanced Python programming skills including frameworks like Pandas, NumPy, and data science libraries etc
Strong experience with database technologies (SQL Server, Azure SQL, PostgreSQL) and data modeling
Proficiency in cloud platforms, preferably Microsoft Azure (Logic Apps, Functions, Data Factory)
Experience with API development, integration patterns
Knowledge of version control systems (Git), CI/CD pipelines, and DevOps practices
Oil and Gas Industry EPC domain experience desirable