Digital Analyst - UAE National

Siemens Energy; Dubai; Vor Ort; AED 300.000 - 420.000; Vollzeit

Benefits dieser Stelle

Global team collaboration

Learn@Siemens-Energy platform

Lead on diverse innovative projects

Zusammenfassung

Siemens Energy seeks a QEHS Digitalization Professional to drive digital transformation by building AI-powered analytics and intelligent reporting across functions. You will design front-end interfaces with React, connect to back-end LLM services via FastAPI, and support API integration within engineering platforms and data lakes.

You will contribute to ETL workflows, monitor deployments on cloud platforms, and prepare architecture notes and user guides.

Qualifikationen

• Bachelor's degree in Computer Science or Engineering.
• Hands-on Python coursework, personal projects, or open-source contributions welcomed.
• Basic understanding of REST APIs and frontend development (React or similar).
• Familiarity with cloud platforms AWS or Azure.
• Basic understanding of ETL, data pipelines, and data quality principles.
• Awareness of cybersecurity fundamentals and responsible AI practices.
• Familiarity with Power BI for operational/analytic insights.
• Interest in AI governance and ethics in an engineering context.

Aufgaben

• Assist in designing and building front-end interfaces connected to back-end LLM services using Python and FastAPI.
• Support API development to integrate AI models into existing engineering platforms and data workflows.
• Contribute to digital pipeline configuration and participate in code reviews and ETL tasks.
• Help maintain deployed applications, resolve bugs, and implement user feedback.
• Provide day-to-day support for deployed AI tools, logging issues and triaging bugs.
• Monitor application performance using cloud dashboards (AWS/Azure).
• Create and update architecture notes, API references, and user guides.
• Support user onboarding and adoption through demos, walkthroughs, and guides.

Kenntnisse

Python

REST APIs

Front-end development

React

AWS/Azure

ETL/data pipelines

Power BI

AI governance

Cybersecurity fundamentals

Ausbildung

Bachelor's Degree in Computer Science or Engineering

Tools

FastAPI

React

Power BI

AWS

Azure

Jobbeschreibung

Job Description:

Snapshot of Your Day

As a QEHS Digitalization Professional you will engage in meaningful projects that drive digital transformation, developing intelligent reporting solutions and AI-powered analytics to enhance operational excellence across various functions. Your work will significantly impact the EHS team, clients, and partners by improving compliance, productivity, and decision-making, all while contributing to Siemens Energy’s mission of sustainable and reliable energy. You can expect a collaborative team culture that values diversity, innovation, and continuous improvement.

What You’ll Make An Impact

• Assist in designing and building front-end interfaces (React) connected to back-end LLM services using Python and FastAPI.
• Support API development to integrate AI models into existing engineering platforms, data lake and workflows.
• Contribute to digital pipeline configuration and participate in code reviews, ETL under senior guidance.
• Help maintain and update deployed applications, resolving bugs and improving features based on user feedback.
• Provide day-to-day support for deployed AI tools - logging issues, triaging bugs, and assisting with resolution.
• Monitor application performance using cloud dashboards (AWS CloudWatch or Azure Monitor).
• Create and update technical documentation including architecture notes, API references, and user guides.
• Support user onboarding and adoption efforts through demos, walkthroughs, and written guides.

What You Bring

• A Bachelor’s Degree in Computer Science or Engineering
• Hands-on experience with Python coursework, personal projects, or open-source contributions welcome.
• Basic understanding of REST APIs and front-end development (React or similar).
• Familiarity with cloud platforms (AWS or Azure)
• Basic understanding of data handling concepts such as ETL, data pipelines, and data quality principles.
• Awareness of cybersecurity fundamentals (e.g., authentication, authorization, secure data handling) and interest in responsible AI practices.
• Familiarity with data visualization or reporting tools (Power BI preferred) for operational and analytical insights.
• Interest in AI governance, compliance, and ethical AI topics within an engineering and enterprise context.

About The Team

Our Transformation of Industry division is decarbonizing the industrial sector. Increasing electrification and efficiency are key and demand for green H2 and derivative fuels will rise. We enable decarbonization of the industrial sector and the transition to sustainable processes, building on a strong industrial customer base, a global network, diverse technologies, and integrated execution capabilities.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

• Opportunities to work with a global team
• Opportunities to work on and lead a variety of innovative projects
• Continual learning through the Learn@Siemens-Energy platform