20 beste Stellen als research data engineer in lausanne vd – aktuell auf Personalsuche

Research Data Engineer
LIGENTEC —Ecublens, VD
- Homeoffice
- Englisch
- Master
- SQL
21 Std.
Lab Data Technology Specialist - Nestlé Research
Nestlé —Lausanne, VD
- 100%
- Informatik
- Management-Erfahrung
- Laborerfahrung
- Bezahlte Feiertage
- Eltern-/Erziehungsurlaub
Bioprocess Engineer - Pilot Plant (Fermentation & DSP) - Nestlé Research
Nestlé —Lausanne, VD
- 100%
- Datenanalyse
- Englisch
- Bezahlte Feiertage
- Eltern-/Erziehungsurlaub
Post-Training Engineer - Apertus
emploi.epfl.ch —Lausanne, VD
- Homeoffice
- Doktorat
- Forschungserfahrung
- Master
Research Fellow
IMD —Lausanne, VD
- Teilzeit
- Homeoffice
- Management-Erfahrung
- Doktorat
- Englisch
Application Development Scientist – Reagents (12 months fixed-term contract)
Bio-Techne —Tolochenaz, VD
- CHF 76’900 - CHF 123’100 pro Jahr
- 100%
- Doktorat
- Datenanalyse
- Englisch
Chargé-e de recherche pour BrainCare@NeuroTech/ Research Fellow at Neuroscape
Centre hospitalier universitaire vaudois —Lausanne, VD
- Arbeitgeber anrufen
- Doktorat
- Englisch
- Forschungserfahrung
- Eltern-/Erziehungsurlaub
ICP Systems Engineer
emploi.epfl.ch —Lausanne, VD
- Informatik
- Management-Erfahrung
- Englisch
8 Tage
Senior Research Engineer / Research Scientist - Post-Training, Reinforcement Learning & Training Systems
Giotto.ai —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Doktorat
- Python
Direkt bewerben
Software Engineer AI Research (Mid-Senior)
Nexthink —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Forschungserfahrung
- Master
Direkt bewerben
Lead Research Engineer / Research Scientist - Post-Training, Reinforcement Learning & Training Systems
Giotto.ai —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Doktorat
- Python
Direkt bewerben
3 Tage
Software Engineer - ThousandEyes
Cisco Systems —Rolle, VD
- 100%
- Master
- SQL
- AWS
Research Associate (Molecular Biology / Protein engineering)
Adaptyv —Lausanne, VD
- 100%
- Master
- Montage
- Bachelor
Full Stack Software Engineer
emploi.epfl.ch —Lausanne, VD
- Informatik
- Englisch
- Master
Postdoctoral Researcher / Research Engineer
emploi.epfl.ch —Lausanne, VD
- 100%
- Doktorat
- Forschungserfahrung
- Master
Machine Learning Engineer (Detect & Track Distillation)
Harmattan AI —Lausanne, VD
- 100%
- Mentoring
- Kommunikationsfähigkeit
Lab Operations Associate
Adaptyv —Lausanne, VD
- 100%
- Laborerfahrung
- Englisch
- Forschungserfahrung
Product Manager
Nexthink —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Erfahrung in der IT
Direkt bewerben
Computer Vision Engineer
Harmattan AI —Lausanne, VD
- 100%
- Doktorat
- Master
- C++
PhD. Student position in Integrated photonic-spintronic devices
emploi.epfl.ch —Lausanne, VD
- Doktorat
- Bachelor
- Python

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Research Data Engineer

LIGENTEC
Ecublens, VD

Jetzt bewerben

Details zur Stelle

Festanstellung
vor 21 Stunden

Qualifikationen

Spark
Git
Englisch
Master
Bash
SQL
Metadaten
Python

Vollständige Stellenbeschreibung

About us

We're a multicultural team of experts pushing the boundaries of what's possible in integrated optics. Our mission is to make photonic integration accessible and industrially scalable. We deliver best-in-class PIC platforms, design enablement, and integrated solutions that empower our customers to innovate faster and bring light-based technologies from concept to production.

About the role

As a Research Data Engineer, you will build the analysis library our engineering teams use to turn test data into decisions, and connect the data flows that feed it. Both build on existing data infrastructure. In this high-impact position, you will own the infrastructure and conventions that let data move reliably between teams and stay traceable from layout through to measurement, working directly with the people who use what you build.

Role and Responsibilities

Analysis library:

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.

Data flow and lineage:

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.

What you bring

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.
Openness to adopting new frameworks and state-of-the-art data tools.

Nice to have:

Domain expertise in integrated photonics or wafer-level fabrication processes.
Practical experience with distributed computing frameworks (Ray, Dask, Spark) and high-volume data handling.
Knowledge of data lineage systems and metadata cataloging solutions.

What we offer

A dynamic role at the heart of the deep-tech revolution where your technical expertise directly impacts product adoption. You will join an international team of specialists, gain deep exposure to market-leading photonic applications, and shape how photonic integration is deployed worldwide.

Practicalities

Location: Lausanne, Switzerland (Onsite).
Work percentage: 100%.
Languages: English is our working language, other languages are a plus.
Home office: Up to two days per week.
Start date: As soon as possible.

We are an equal-opportunity employer and welcome applications from all backgrounds.

Please submit your application through our career page.

Jetzt bewerben

Erweiterte Suche

research data engineer Jobs in lausanne vd

Research Data Engineer

Lab Data Technology Specialist - Nestlé Research

Bioprocess Engineer - Pilot Plant (Fermentation & DSP) - Nestlé Research

Post-Training Engineer - Apertus

Research Fellow

Application Development Scientist – Reagents (12 months fixed-term contract)

Chargé-e de recherche pour BrainCare@NeuroTech/ Research Fellow at Neuroscape

ICP Systems Engineer

Senior Research Engineer / Research Scientist - Post-Training, Reinforcement Learning & Training Systems

Software Engineer AI Research (Mid-Senior)

Lead Research Engineer / Research Scientist - Post-Training, Reinforcement Learning & Training Systems

Software Engineer - ThousandEyes

Research Associate (Molecular Biology / Protein engineering)

Full Stack Software Engineer

Postdoctoral Researcher / Research Engineer

Machine Learning Engineer (Detect & Track Distillation)

Lab Operations Associate

Product Manager

Computer Vision Engineer

PhD. Student position in Integrated photonic-spintronic devices

Ich möchte aktuelle Job-E-Mails für Stellen als research data engineer in lausanne vd erhalten

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