R&D Data Platform Engineer

Try&Hire; Ecublens; Hybride; CHF 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Résumé du poste

Try&Hire is seeking a senior data engineer to build and maintain the analysis library and data infrastructure that turns test data into actionable insights in a deep-tech R&D environment.

You will architect a Python library for pipeline orchestration, ensure abstraction from file formats, and enable scalable local, remote, and distributed execution. This role emphasizes data traceability and production-grade ETL.

Qualifications

• MSc or equivalent in a relevant field
• 5+ years of data experience in an R&D environment
• Strong Python and API/library design experience
• Proficient SQL, Git, and UNIX/bash

Responsabilités

• 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

Connaissances

Python programming

English communication

Data analysis and modeling

Formation

MSc in Computer Science, Engineering, or a scientific discipline

5+ years data in R&D environment

Outils

SQL

Git

UNIX/bash

Prefect

Airflow

Dagster

HDF5

Zarr

Parquet

Ray

Description du poste

Try&Hire is seeking a senior data engineer to build and maintain the analysis library and data infrastructure that turns test data into actionable insights in a deep-tech R&D environment.

You will architect a Python library for pipeline orchestration, ensure abstraction from file formats, and enable scalable local, remote, and distributed execution. This role emphasizes data traceability and production-grade ETL.