Senior Data Engineer Product Core Data Asset

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

The PS Data & Analytics team at Bayer Consumer Health focuses on driving digital transformation and innovation by creating best-in-class analytical solutions that enable data-driven decision making and performance optimization for Bayer Consumer Health’s Supply Chain organization.

You will be part of the data & analytics organization and will be responsible for building data products in the area of product supply and supply chain. You partner with business stakeholders, data architects, data scientists, analytics leads as well as other engineers. You will build data pipelines, data models and provision data for Analytics products and data scientists. You will also make sure that proper development processes are followed within the team, enhance implementation frameworks and guide other team members in building scalable, secure and well performing data products. If you are interested in joining a young and dynamic team driving the digital transformation of Bayer Consumer Health, we would like to hear from you.
Ingest data from transactional systems and data warehouses of other business functions into the divisional data analytics platform.

Codzienne zadania

• Bachelor/Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of working experience in the field of Data & Analytics, preferably in the area of product supply and the CPG industry
• 3+ years of proficient coding experience with Python for data engineering, including SQL and PySpark (DataFrame API, Spark SQL, MLlib), with hands-on experience in various databases (SQL/NoSQL), key libraries (e.g., pandas, SQLAlchemy), parallel processing, and advanced data transformation and performance optimization techniques.
• Excellent data engineering & technology knowledge (Azure Data Lake Gen2, Azure Synapse and Databricks as well as data management knowhow (data cataloguing, data quality management)
• Solid understanding of data modeling, ETL processing and lakehouse concepts.
• Knowledge of CI/CD processes and tools (GitHub, Azure DevOps Pipelines)
• Profound data content knowledge (Supply Chain, Logistics, Quality Management) and Product Supply process knowhow
• Experience in Agile methodologies (Scrum, Kanban)
• Strong problem solving and analytical skills. Excellent interpersonal and communication skills, active listening, consulting, challenging, presentation skills.
• Fluent in English, both written & spoken, intercultural awareness and willingness to travel

Must have

• Python