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Group Senior Data Engineer

Group Senior Data Engineer

Octapharma AGLachen, CH
Vor 30+ Tagen
Stellenbeschreibung

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, 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 !

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