• Data Architecture: Design and implement robust data pipelines using Azure Databricks or equivalent cloud data services. Manage and optimize Data lakehouse solutions for efficient data storage, transformations and processing.
• Data Integration and ETL Processes: Develop and maintain ETL processes ensuring seamless data integration from various sources, including IoT devices in manufacturing.
• Machine Learning Operations (MLOps): design, implement, automate and maintain scalable machine learning pipelines using MLflow on Databricks. This work is done in collaboration with business partners.
• Design, implement and maintain data pipelines to power generative AI solutions such as Retrieval Augmented Generation applications.
• Collaboration and Training: Work with the rest of IT and data science teams to integrate state-of-the-art data & AI solutions into the business processes and workflows. Provide training and support to end-users if necessary.
• Ensure all data solutions comply with regulatory standards in the pharmaceutical industry, utilizing Azure security and compliance features.
• Coach and support teams in the various business functions to help them onboard onto Databricks or other cloud-native solutions and fully leverage the potential of these technologies.

• Educational Background: Bachelor's degree in computer science, Engineering, Data Science, or related field.
• Good communication and interpersonal skills with the ability to work in an international, distributed team
• Fluent in English. German is a plus.
• Data Engineering Experience: Minimum of 5 years of experience in data engineering, with a strong focus on cloud native technologies.
• Demonstrated experience in deploying and maintaining data pipelines using Databricks or another equivalent cloud-based technology.
• Demonstrated experience in building Machine Learning pipelines and promoting them across different environments, including production.
• Proficiency in Python with a strong focus on data engineering, task orchestration and machine learning libraries. A good knowledge of SQL is a plus. 
• Demonstrated experience of collaborative work on code development (e.g. branching strategy...), using Github or an equivalent technology
• Experience with Azure or AWS is required.
• Any Azure or Databricks certification is a plus
• Knowledge of MLflow is a plus
• Experience on building cloud infrastructure using IaC is a plus

• You help save lives - Every day is meaningful as we produce life-saving medicines
• Family values - Long-term perspective for employees and relationships 
• Be rewarded with an attractive salary and benefits package
• You will have a high level of influence where you can make a difference and leave your footprint
• Work with skilled and fun colleagues in a relatively informal organization
• Skills development - We offer various internal and external employee and leadership trainings, trainee programs and digital solutions

If you have questions about the position, contact Ms. Claudia Vignau, Recruiter; +41 55 451 21 35.

• We will endeavor to review your profile as quickly as possible and provide you with feedback
• The next step is to conduct a phone interview, which takes about 30 minutes.

Would you like to get to know us better? Learn more about us on our website and follow us daily on LinkedIn!