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  1. Jobs
  2. Saudi Arabia
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  4. Digital Transformation and Data Engineer

Digital Transformation and Data Engineer

  • Schneider Electric
  • Saudi Arabia
  • Posted 18 Oct
  • Verified source
Job type
Full-time
Work mode
On-site
Seniority
Mid level
Salary
Not stated

Summary

Schneider Electric is seeking a Digital Transformation and Data Engineer for a role based in Central, Saudi Arabia. The role involves building and maintaining data pipelines and integrations, developing datasets, dashboards and KPIs, improving data quality, and implementing process automation. The engineer will also support AI initiatives and work with regional and global teams to adapt data and digital transformation strategies. Applicants should have a relevant bachelor’s degree, 2–4 years of related experience, strong SQL and database knowledge, and English proficiency.

The posting

As published on se.com. Pulled from the employer's site and shown as they wrote it.

Purpose

Drive digital transformation by building data solutions, automating processes, and delivering insights, beside leading the data digital tools She/He will be responsible for enhancing the existed data accuracy and build the right procedures for the new data streaming in the way that improve business performance.

Ideal Candidate

Someone who can combine: Business Understanding + Data Engineering + Analytics + Automation + AI

Key Responsibilities

  • Design and support digital transformation Initiative in her/his area of responsibilities.
  • Build and maintain data pipelines and integrations.
  • Connect data from ERP, CRM, eCommerce, APIs, and other systems.
  • Develop datasets, dashboards, and KPIs using Power BI or through the existed reporting platforms.
  • Improve data quality, governance, and accessibility.
  • Identify automation opportunities and implement solutions.
  • Support AI expansion initiatives.
  • Collaborate with the different teams to translate requirements into solutions.
    Collaborate with Regional and Global teams to reflect and localize the data and digital transformation strategy.

Requirements

  • Bachelor's degree in Computer Science, IT, Engineering, Data Science, or related field.
  • 2-4 years of experience in Data Engineering, Analytics, Digital Transformation or Systems Integration.
  • Strong SQL and database knowledge.
  • Knowledge with Python and APIs.
  • Experience with Power BI or similar BI tools.
  • Knowledge of cloud platforms (Azure, AWS, GCP).
  • Strong problem-solving and communication skills.
    English is a must

Rewards designed for you

Our Total Rewards is our way of saying: We see you and we value you. It’s more than just pay and benefits—it’s a meaningful investment in you. It is designed to help you perform, grow, feel safe, and elevate your potential. The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community. At Schneider Electric, we’re here for what matters most to you. Discover more at our Career Page.

* Country-specific programs and initiatives may be available.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric – apply today!

€40 billion global revenue
+9% organic growth
150 000+ employees in 100+ countries

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

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Closing date

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No closing date at the source

The employer's site doesn't give one, so this job can close any day. Check the posting before you count on it.

Check the posting on se.com

Skills

  • AWS
  • Data Governance
  • ETL & Data Pipelines
  • Google Cloud
  • Microsoft Azure
  • Power BI
  • Python
  • SQL

Schneider Electric

Engineering and manufacturing

All jobs at Schneider Electric

ReferenceGH 91F5 3F5D E6F4

Always check the employer's original posting for details.

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