pYou will build and maintain the analysis library and data infrastructure that turns engineering test data into actionable insights, in a deep-tech RD environment. /p h3Your tasks /h3 ul liArchitect a Python library centered on pipeline orchestration for characterization data /li liEnsure abstraction between analysis logic and underlying file formats or storage schemas /li liDevelop scalable solutions for local, remote, and distributed execution environments /li liIntegrate logging and transformation lineage for dataframes with database export capabilities /li liBuild multi-site infrastructure for test data and metadata storage /li liDevelop ingestion mechanisms for relational database metadata updates /li liStandardize retrieval and storage conventions to ensure end-to-end data traceability /li /ul h3What you bring /h3 ul liMSc in Computer Science, Engineering, or a scientific discipline, or equivalent practical experience /li li5+ years of experience working with data in an RD, research center, or instrument-heavy environment /li liStrong Python expertise with experience designing libraries and APIs /li liProficiency with SQL, Git, and UNIX/bash /li liExperience building and running ETL/ELT pipelines with modern orchestrators in production /li liFamiliarity with scientific data formats and structured data storage concepts /li liStrong written and spoken English skills /li /ul h3Conditions /h3 ul liWorkload: 100 % /li liWork model: Hybrid /li liOption of a permanent position after the assignment if both sides want it /li /ul h3What to expect /h3 ul li100% workload /li liUp to two days per week home office /li li3–6 months interim, then a permanent position /li /ul h3Technologies /h3 ul liPython /li liSQL /li liGit /li liUNIX /li libash /li liPrefect /li liAirflow /li liDagster /li liHDF5 /li liZarr /li liParquet /li liRay /li /ul #J-18808-Ljbffr
Research Data Engineer Arbeitgeber: Try&Hire
Try&Hire ist ein hervorragender Arbeitgeber, der innovative Technologien im Bereich der KI und Computer Vision fördert. Unsere offene und kollaborative Arbeitskultur ermöglicht es Ihnen, an spannenden Projekten zu arbeiten und Ihre Fähigkeiten kontinuierlich weiterzuentwickeln. Zudem bieten wir flexible Arbeitszeiten und die Möglichkeit, in einem dynamischen Team zu wachsen, das sich leidenschaftlich für wissenschaftliche Fortschritte in der Bildanalyse einsetzt.
