Commercial Data Engineer (m/f), Paris

Bayer is an international group whose core businesses lie in the healthcare and agriculture sectors. At the intersection of chemistry and biology, Bayer helps to improve quality of life by offering products and services in human and plant health.

Missions

• Contribute to build a Global Data Governance & Technology program (Xplain) for all commercial data assets
• Develop and maintain complex data pipelines
• Implement standard and Big-Data Extract-Transform-Load (ETL) processes focusing on their efficiency and reliability
• Help the business translators in converting complex requirements into feasible solution proposals
• Learn new technologies and their optimal application to our context
• Be an active interface with external consulting companies to access the data and make them available in the optimal format
• Help find the best dataset for specific business projects
• Communicate in a clear and concise way, using the most appropriate approach for each different stakeholder

Profile

• Graduate degree in Computer Science, Mathematics, Engineering, or Statistics
• Long-term experience in data modeling, wrangling and visualization
• Strong analytical skills, team playing, and communication skills
• Multiple years of experience in data modeling, wrangling and visualization
• Strong Knowledge of SQL and NoSQL solutions
• Good knowledge of AWS with a specific focus on Data oriented services
• Knowledge of the most common data management platforms (Dataiku, Databricks, Datarobot, Google Cloud Platform, Azure)
• Knowledge of Hadoop, Spark, Hive and other Big data frameworks
• Strong knowledge of Python and the most common data management libraries (Pandas, PySpark)
• Passionate team player
• Strategic business acumen focusses on results, passion for keeping up with media and technology trends
• Knowledge of IQVIA datasets is an asset