What will you be doing as Data Engineer?
* 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.
Who are you?
* 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.
What's the best thing about working with us?
* 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.
Apply Today!
If you have questions about the position, contact Ms. Claudia Vignau, Recruiter; +41 55 451 21 35.
"In this role, you will have a unique opportunity to drive the transformative effort in a global pharmaceutical company. You will get the chance to build Data & AI-powered solutions that change the way we discover, develop and produce life-saving treatments for patients."
- Christophe Chabbert, Group Senior Manager Data & AI
If you proceed in the process
* 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!
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