Photonic R&D Data Engineer: End-to-End Pipelines (Lausanne)

LIGENTEC; Ecublens; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

LIGENTEC in Lausanne, Switzerland, invites a Research Data Engineer to build the analysis library used by our engineering teams to turn test data into decisions and connect data flows from layout to measurement.

You will own infrastructure, enable cross-team data movement, and contribute to both R&D exploratory work and production-quality pipelines, with 100% onsite work and English as the working language. The role offers exposure to photonics platforms and multi-site data environments.

Qualifikationen

• 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 (Prefect, Airflow, Dagster, or similar) in production.
• Familiarity with scientific data formats (HDF5, Zarr, Parquet) and structured data storage concepts (object storage, relational catalogs).
• Strong written and spoken English skills; ability to coordinate and unify workflows across independent teams.

Aufgaben

• 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.
• Cater to both exploratory R&D and production-level quality assurance workflows.
• Provide documentation and support to facilitate technical adoption across internal teams.
• Build multi-site infrastructure for test data and metadata storage.
• Develop ingestion mechanisms for relational database metadata updates.
• Enable cross-team automation via metadata handshakes and metrology plan scripting.
• Standardize retrieval and storage conventions to ensure end-to-end data traceability.

Kenntnisse

Python

SQL

Git

UNIX/Bash

ETL Pipelines

Data Formats

HDF5

Zarr

Parquet

English Communication

Ausbildung

MSc in Computer Science, Engineering, or a scientific discipline

Tools

Prefect

Airflow

Dagster

Jobbeschreibung

LIGENTEC in Lausanne, Switzerland, invites a Research Data Engineer to build the analysis library used by our engineering teams to turn test data into decisions and connect data flows from layout to measurement.

You will own infrastructure, enable cross-team data movement, and contribute to both R&D exploratory work and production-quality pipelines, with 100% onsite work and English as the working language. The role offers exposure to photonics platforms and multi-site data environments.