Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 35 days ago

Research Data Engineer

LIGENTEC5 open roles

Where
Ecublens, Switzerland
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowResearch Data EngineerLIGENTEC · Ecublens, Switzerland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on LIGENTEC's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. LIGENTEC postings stay open a median of 6 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: posted 35 days ago

LIGENTEC median: 6 days open

The posting

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against LIGENTEC's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on LIGENTEC's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    LIGENTEC's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.