Your responsibilites :
Designing and implementing data pipelines that source data from different data sources.
Delivering analytical solutions together with data scientists and analysts.
Developing 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 diagnostics.
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 / C#).
Experience working with big data technologies (Hadoop / Hive / Spark) - at least 2 years.
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 streaming datasets.
Experience with BI tools e.g. PowerBI (is 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
Flexible benefits platform
Pension Scheme (PPE) after 12 months
Happy Monday : )
Casual dress code
Attractive location (Sky Tower)