Cloud Data Engineer - AI Technology F/H

Key Skills

AI technology, Apache Flink, AWS, Azure, Data pipelines, Databricks, Docker, English Proficiency, ETL/ELT technologies, Github, Java Programming, Kubernetes-K8s, Large scale data processing, Machine learning techniques, Presto, Python Programming, Scala Programming, SPARK Programming, SQL, Terraform

Job Description

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.

As part of the AI Technology group, we are hiring a Cloud Data Engineer.

The AI Technology group (70 people) is developing 2 AI platforms relying on Azure and AWS to address external and internal needs.

Your responsabilities :

• Engineering of 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
• Implement data observability and monitor data pipelines in production to ensure proper operation.
• Act as a partner to the platform engineering team and Machine Learning team, understand their challenges and make opinionated recommendations that empower them with data solutions.
• Write infrastructure as code to deploy our data infrastructure
• Write ETL job to collect and aggregate data.
• Build High quality data models.
• Identification, implementation of shared components & libraries to be re-used from a context to another.
• Specification, design, implementation, test, validation, and industrialization of advanced data management functions to be incorporated in products, systems and solutions.
• Collaboration with data and domain experts to identify data transformation methods, tools and technologies to build platform & product offerings.
• Contribution to the identification and evaluation of potential external partners.
• Contribution to intellectual property protection, capitalization of knowledge, and internal and external communication.

Your profile :

• Master or PhD or equivalent diploma in Data Processing, computer science with minimum 2 years of experience.
• Expert in engineering data pipeline using technologies such as Presto, Spark or Flink and or the equivalent managed services from public cloud providers.
• 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.
• Ideally, some knowledge of Energy Management and Automation market
• 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.

Technologies :

• Languages: Python, Java, Scala
• Cloud Platforms: Microsoft Azure, AWS
• Tools: Kubernetes, Databricks, Docker, Spark, OpenDataSoft, Github, Terraform.

Our offer includes attractive remuneration and goes far beyond that. We offer competitive benefits, a work environment that encourages professional development, a qualitative onboarding and accompaniment throughout the different stages of your life (training, career opportunities, parenting, flexibility ...), in a great workplace.