The posting
You will build and maintain the analysis library and data infrastructure that turns engineering test data into actionable insights, in a deep-tech R&D environment.
## Tasks - Architect a Python library centered on pipeline orchestration for characterization data - Ensure abstraction between analysis logic and underlying file formats or storage schemas - Develop scalable solutions for local, remote, and distributed execution environments - Integrate logging and transformation lineage for dataframes with database export capabilities - Build multi-site infrastructure for test data and metadata storage - Develop ingestion mechanisms for relational database metadata updates - Standardize retrieval and storage conventions to ensure end-to-end data traceability
## Profile - MSc in Computer Science, Engineering, or a scientific discipline, or equivalent practical experience - 5+ years of experience working with data in an R&D, research center, or instrument-heavy environment - Strong Python expertise with experience designing libraries and APIs - Proficiency with SQL, Git, and UNIX/bash - Experience building and running ETL/ELT pipelines with modern orchestrators in production - Familiarity with scientific data formats and structured data storage concepts - Strong written and spoken English skills
## Offer - 100% workload - Up to two days per week home office - 3–6 months interim, then a permanent position
## Company Photonics technology
Apply online via Try&Hire with your profile — https://tryandhire.io/ch-en/jobs/e/research-data-engineer-tah-wxkdd/



