Senior Data Engineer - AI Solutions
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Before you apply
LocationGRENOBLE, GRENOBLE, France; RUEIL MALMAISON, HAUTS-DE-SEINE, France
Typefull-time
SenioritySenior
Experience2+ yrs
DepartmentAI Solutions
Company size10,000+ people
First seenOct 18, 2026 · 2w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Master or PhD or equivalent diploma in Computer Science
Minimum 2/3 years of experience in Data Engineering
Python, Spark, PySpark, SQL/NoSQL, ETL/ELT skills
Experience with public cloud services: Microsoft Azure and/or AWS
Software engineering skills/experience: capacity to perform coding, debugging, testing and troubleshooting
Orientation towards solving problems, achieving results, and applying technology to real-life business cases
Effective communication skills including aptitude for data-driven story telling: convincing with words, impacting with data, and influencing with visuals
Autonomy AND capacity to cooperate
Openness of mind AND scientific rigor
Fluent English
Knowledge of technologies as Databricks, Kubernetes, Docker, OpenDataSoft would be an asset
AI exposure (Data Science, Machine Learning, MLOps) and Big Data / Data Analysis / Data Visualisation background would be an asset
Others programming languages knowledge would be an asset: Java, C++, C#, JavaScript, R, Matlab
Some knowledge of Energy Management and Automation markets
Skills
Python
Spark
PySpark
SQL
NoSQL
ETL/ELT
Microsoft Azure
AWS
Databricks
Kubernetes
Docker
OpenDataSoft
Java
C++
C#
JavaScript
R
Matlab
Benefits
Wellbeing
Flexibility
About the company
Schneider Electric’s purpose is to empower all to make the most of our energy and resources, bridging progress and sustainability for all. At Schneider, we call this Life Is On.
We are driving digital transformation by integrating the most advanced energy and automation technologies. We connect products, control platforms, software and services throughout the lifecycle of our customers’ activities to the cloud for integrated management of residential housing, commercial buildings, data centers, infrastructures and industries.
Within the Schneider Digital entity, we are currently developing a distributed global AI Hub between the United States (Boston), India (Bangalore) and France (Paris/Grenoble) to deliver innovative AI projects at scale and make Schneider Electric become an AI-driven organization.
About the role
For the AI Solutions team in charge we are Hiring a Senior Data Engineer to contribute to the design, development, and deployment of Advanced Data Processing applications within Schneider Electric product and service offers in the Energy Management and Industrial Automation domains.
In particular, these applications are intended to provide the data needed to Artificial Intelligence solutions including: energy optimization; condition monitoring and diagnosis of electrical distribution devices and industrial machines; as well as design and operation support through digital twins mixing Artificial Intelligence with Simulation techniques.
Responsibilities :
•
the analysis of complex data processing use cases and corresponding data;
•
the specification, design, implementation, test, validation, and industrialization of advanced data management functions to be incorporated in products, systems and solutions;
•
contributions to state-of-the-art monitoring (literature and patent review, trend analysis, startup evaluation), technological watch and experimentation of new technologies, tools and processes, to improve products and services as well as development practices within the company;
•
contributions to the identification and evaluation of potential external partners;
•
contributions to intellectual property protection, capitalization of knowledge, and internal and external communication.
You’ re interested in solving real world problems with AI? Join us for a sustainable, digital new electric world and make a true impact for sustainability.
Requirements
•
Master or PhD or equivalent diploma in Computer Science with minimum 2/3 years of experience in Data Engineering (Processing, Pipelines etc).
•
Python, Spark, PySpark, SQL/NoSQL, ETL/ELT skills
•
Experience with public cloud services : Microsoft Azure and/or AWS
•
Knowledge of technologies as Databricks, Kubernetes, Docker, OpenDataSoft would be an asset
•
AI exposure (Data Science, Machine Learning, MLOps) and Big Data / Data Analysis / Data Visualisation background would be an asset.
•
Software engineering skills/experience: capacity to perform coding, debugging, testing (including unit tests, functional tests, and integration tests) and troubleshooting throughout the application development process and in agile mode.
•
Others programming languages knowledge would be an asset : Java, C++, C#, JavaScript, R, Matlab
•
Ideally, some knowledge of Energy Management and Automation markets.
•
Orientation towards solving problems, achieving results, and applying technology to reallife business cases.
•
Effective communication skills including aptitude for datadriven story telling: convincing with words, impacting with data, and influencing with visuals.
•
Autonomy AND capacity to cooperate.
•
Openness of mind AND scientific rigor.
•
Fluent English.
Great people make Schneider Electric a great company. To co-create tomorrow, we give our employees the opportunity to challenge the status quo and to undertake. We value diversity and promote well-being and flexibility within our work environment.
Present in 115+ countries around the world, we are the most local of global companies. We are advocates of open standards and partnership ecosystems that are passionate about our shared Meaningful Purpose, Inclusive and Empowered values. Take part in the Schneider Electric adventure, join us!