Research Data Engineer

avec compétence GmbH; Ecublens; Hybrid; CHF 120,000 - 160,000; Full time

Benefits offered by this job

Up to two days home office

100% workload

3–6 months interim, then permanent

Job summary

Photonics technology is seeking an experienced data infrastructure engineer to turn engineering test data into actionable insights within a deep-tech R&D environment. You will focus on building and maintaining a Python library for data characterization pipelines while ensuring clean abstraction from storage formats and databases.

You will develop scalable, distributed execution solutions, integrate logging and data lineage, and enable robust data export capabilities.

Qualifications

• Master's degree or equivalent practical experience in a relevant field.
• 5+ years of data experience in an R&D, research center, or instrument-heavy environment.
• Strong Python expertise and API/library design experience.
• Proficiency with SQL, Git, and UNIX/bash.
• Experience building ETL/ELT pipelines in production.
• Familiarity with scientific data formats and structured storage.
• Strong written and spoken English skills.

Responsibilities

• Architect a Python library focused on pipeline orchestration for characterization data.
• Ensure abstraction between analysis logic and file formats/storage schemas.
• Develop scalable solutions for local, remote, and distributed execution environments.
• Integrate logging and transformation lineage 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 for end-to-end data traceability.

Skills

Python

Data handling

ETL/ELT

SQL

UNIX/Bash

Git

English

Education

MSc in Computer Science, Engineering, or a scientific discipline

Tools

SQL

Python

Git

UNIX/Bash

ETL/ELT pipelines

Job description

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