Group Senior Data Engineer
Publication date:
07 February 2025Workload:
100%- Place of work:Lachen
Job summary
Join Octapharma as a Group Senior Data Engineer in Lachen or Lisbon! Be part of a team that saves lives with innovative solutions.
Tasks
- Design and implement data pipelines using Azure Databricks.
- Develop and maintain ETL processes for seamless data integration.
- Collaborate with teams to integrate data solutions and provide support.
Skills
- Bachelor’s degree in computer science or related field required.
- Minimum 5 years of data engineering experience required.
- Proficiency in Python and cloud technologies is essential.
Summary from the original job ad
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Group Senior Data Engineer
Lachen, CH Lisboa, PT
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
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
The Information Technology Department
The Data and AI team plays a crucial role within the Corporate IT Team, focusing on data engineering, advanced analytics, and AI. This team ensures that data is securely stored, efficiently processed, and readily available to support business operations and decision-making. By leveraging cloud-native technologies and best practices, the Data and AI team enhances the overall IT capabilities of Octapharma, driving innovation and maintaining robust security measures.
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, development and produce life-savings 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 !
About Octapharma
Headquartered in Lachen, Switzerland, Octapharma is one of the largest human protein manufacturers in the world, developing and producing human proteins from human plasma and human cell lines.
Octapharma employs nearly 12,000 people worldwide to support the treatment of patients in 118 countries with products across three therapeutic areas: Immunotherapy, Haematology and Critical Care.
Octapharma has seven R&D sites and five state-of-the-art manufacturing facilities in Austria, France, Germany and Sweden, and operates more than 195 plasma donation centres across Europe and the US. Octapharma has 40 years of experience in patient care.
Formore information, please visit www.octapharma.com
