Senior Cloud DataOps Engineer F/H

At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future.

Artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability.

Within our Global AI Hub we combine our long-standing manufacturing and domain expertise with cutting-edge innovation in AI, machine learning, and deep learning to empower smarter decision-making, agility, and decarbonization.

Your role :

As part of the AI Technology group (70 people), we are seeking an experienced cloud dataOps engineer who can contribute to the development of our AI platform, which is used by our internal stakeholders to design and deploy AI use cases for our external offers and internal functions.

We look for someone with a data engineering background and with strong experience on cloud platforms, specifically on AWS cloud.

He/she must be passionate about solving complex business & technical problems by applying best in class engineering, quality, and security practices in the context of Data & AI software developments & integration.

Our AI platform is built on top of Databricks and Azure & AWS cloud providers.

Your responsibilities :

About the delivery of new data oriented features in the AI platform:


* Contribute to the identification and evaluation of potential external partners & tools


* Contribute, potentially in collaboration with internal stakeholders, to design of new data oriented features of the AI Platform


* Collaborate with data and domain experts to identify data transformation methods, tools and technologies to build platform & product offerings


* Collaborate with other AI Technology teams, understand their challenges and make opinionated recommendations that empower them with data solutions


* Implement data observability and monitor data pipelines in production to ensure proper operations


* Write infrastructure as code and CI/CD workflows to deploy the data cloud infrastructure


* Contribute, from ideation up to industrialization, to the development of re-usable, data-oriented components, libraries or functions

About the support of internal stakeholders:


* Engineer efficient, scalable, and adaptable data pipelines to process structured, semi structured and unstructured data


* Maintain and rethink existing datasets and pipelines to service a large variety of use cases


* Occasionally be embarked into an internal stakeholders teams to bring support & expertise on the data features of the AI platform and, in return, collect platform evolution needs


* Occasionally contribute to the collective effort of run & support for the AI Platform

Other responsibilities:


* Contribute to intellectual property protection, capitalization of knowledge, and internal and external communication


* Contribute to the technical watch on data topics

Your profile :


* Master or PhD or equivalent diploma in Data Processing, co...