Job description

Position Description

  • Designing and implementing data pipelines that source data from different data sources
  • Delivering analytical solutions together with data scientists and analysts
  • Development of scalable data architectures (machine learning) on MS Azure platform
  • Converting data into insights

Technologies we use:
Azure Databricks / Azure Data Factory / SQL Server / Azure DevOps / 
PowerBI / Azure Data Lake Gen2 Storage / CosmosDB / Azure Stream Analytics /
Azure Machine Learning / Azure Key Vault / Jira / Azure Functions / IoT Hub

What we offer: 
Deep understanding of the domain knowledge in the field of molecular biology
Exposure and hands on experience in the development of modern cloud data solutions
Ability to deliver proof of concept solutions and chance to experiment with different technologies 
Opportunity to work with experienced data scientists and domain experts

  • Deep knowledge of data engineering principles and working experience in 
    developing advanced analytics data pipelines 
  • Knowledge of SQL and excellent coding skills in (Python / Scala / Java)
  • Experience working with big data technologies (Hadoop / Hive / Spark) 
  • Understanding of data modelling, data security best practices and data provisioning concepts
  • BS/MS degree in Computer Science or related field
  • Experience with IoT and PowerBI would be considered a plus

At the heart of QIAGEN are our people who drive our success. We act with passion, always challenging the status quo to drive innovation and continuous improvement. We inspire with our leadership and make an impact with our actions. We create a collaborative, safe and engaging workplace which forms the basis for high performing individuals and teams. We drive accountability and entrepreneurial decision-making and want you to excel your growth and shape the future of QIAGEN.

We offer:
- Possibility to develop in an international company
- Training and development programs
- Private medical care
- Group Life Insurance
- Multisport card
- Flexible benefits platform
- Language classes
- Pension Scheme (PPE) after 12 months
- Childcare subsidy
- Happy Monday :)
- Friendly atmosphere
- Casual dress code
- Attractive location (Sky Tower)

Please make sure to send an English version of your CV!

QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or disability.

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