Data Engineer

• You will work in close collaboration with the AI engineers and software engineers to build a large and efficient database of annotated MRI data sets, which is compliant with healthcare regulations (e.g. GDPR)

• You will implement and maintain efficient data pipelines: From importing, anonymizing and cleansing fresh data from our clients, over providing these data to our annotators for labeling (segmentation, bounding boxes, …), to storing annotated data sets in a structured way that makes them super easy to query and analyze for your fellow AI engineers

• You will set up and maintain monitoring systems for the data pipelines in the different stages, alerts for critical behavior and dashboards to visualize the imported data parameters and distribution

• You will make sure that our data bases are in a consistent state and ensure a high quality of the data sets

• You will work with our on-prem installations on the linux servers of our customers, who utilize a range of access methods (VPN, SSH, TeamViewer) to connect, develop, and run software that securely exports their data.

• 3+ years of work experience (industry or academia) in a data engineering role (less experience is also acceptable for junior candidates) and proficiency in ETL and/or ELT processes

• Masters or Ph.D. in  Computer Science or a related field

• You know how to handle large data sets in different formats and from heterogeneous sources 

• Experience with relational and non-relational databases or data lakes

• Experience with handling medical images or other 3D image data sets, or a passion for it

• Experience with docker and with cloud computing (e.g. on AWS)

• You have experience working with common task management frameworks like Airflow or Luigi

• Experience with monitoring tools and dashboards such as Prometheus, Nagios, Grafana or Metabase

• Strong coding skills in Python and solid general engineering skills: You know about version control, unit testing and continuous integration, and you value best practices and good code quality

• You have experience with Linux and Bash and are comfortable writing and running small scripts that can handle data exporting jobs

• Good communication skills and fluent in English

• Located in Germany

  
  

Nice to have:

• Full-stack and particular frontend skills (Javascript/Typescript, maybe even in the context of an image annotation tool)

• Experience with DICOM and NIFTI file formats

• Good IT / system administration knowledge, including remote access methods like VPN, SSH or TeamViewer and secure data transfer protocols like SCP

• Understanding of machine learning algorithms

• Our vision has a purpose: Your work has a direct effect on the quality of our AI products and thus contributes to make the diagnosis of medical conditions faster, more accurate and more accessible

• You will work on interesting data sets consisting of radiologic images of thousands of patients

• You will play a key role in shaping our data infrastructure from the ground up

• You will join a highly interdisciplinary team of motivated and highly collaborative data scientists, engineers, physicists and medical doctors with rapid decision-making processes