Data Engineer AI

• Practice Data

• Technologies Business Intelligence Jobs and Data Recruitment

• Location Eybens, France

• Type Contract

Responsibilities :

• Top AI Project Team Member :

              - Explore Data processing challenges of AI Internal and External Uses Cases

              - Build (from specs to industrialization) advanced data functions (quality checks, correction, transforms) to be included in AI products;

              - Mentor Junior Data Engineer;

• Bold member of the SE Data Community

              - Monitor state-of-the-art (literature, patent review, trend analysis, startup evaluation, conference attendance, new architectural concepts),

              - Experiment new solutions, promote new practices within the company;

              - Contribute to the identification and evaluation of external partners;

              - Protect Intellectual Property, share knowledge, Communicate both internally and externally on projects and achievements.

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.

• Master or PhD or equivalent diploma in Computer Science with minimum 2/3 years of experience in Data Engineering (Processing, Pipelining).
• 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.

• share
• 
• 
• 
•