20 beste Stellen als data engineer data integration platform in zug zg – aktuell auf Personalsuche

Senior Data Pipeline Engineer
iGroove AG —Pfäffikon, SZ
- 100%
- Homeoffice
- Datenbanken
- AWS
- Python
Direkt bewerben
Forward Deployed Engineer
Scalera —Zürich, ZH
- 100%
- Englisch
- Master
- JavaScript
Direkt bewerben
10 Tage
RF Application Engineer
Sequans —Zürich, ZH
- Master
- Analysefähigkeit
- Bachelor
Senior Data Engineer
Google —Zürich, ZH
- CHF 156’000 - CHF 227’000 pro Jahr
- 100%
- Bachelor
- Ohne Hochschulabschluss
15 Std.
System Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Militär
- Englisch
Direkt bewerben
20 Std.
Software Engineer III, AI/ML, Gemini Integration/Customisation
Google —Zürich, ZH
- CHF 106’000 - CHF 109’000 pro Jahr
- 100%
- Informatik
- Doktorat
- Forschungserfahrung
10 Tage
Software Engineering Internship
ANYbotics —Zürich, ZH
- Doktorat
- Englisch
- Master
13 Tage
Technical Product Manager QVAC - 100% remote
Tether Operations Limited —Zürich, ZH
- Homeoffice
- Englisch
- C++
- Bachelor
Sr. DevOps Engineer
QSC, LLC —Zürich, ZH
- 100%
- Management-Erfahrung
- C++
- Bachelor
Senior Backend Engineer (Python)
Scalera —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Datenbanken
- Erfahrung im Bauwesen
- Python
Direkt bewerben
Senior System Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Militär
- Englisch
Direkt bewerben
17 Std.
German-Speaking Solution Engineer - Retail & Consumer Goods
Salesforce —Zürich, ZH
- 100%
- Salesforce
- Englisch
- Master
Senior Staff Software Engineer, Automotive AI
Google —Zürich, ZH
- 100%
- Doktorat
- Java
- Master
Senior Backend Engineer (Python) (Remote)
Scalera —Zürich, ZH
- 100%
- Homeoffice
- Datenbanken
- Erfahrung im Bauwesen
- Python
Direkt bewerben
Software Engineer - IT Consultant
Mirai Solutions GmbH —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Senior Web / Software Developer – Atlassian Confluence & Microsoft SharePoint (80-100%)
Vontobel Holding AG —Zürich, ZH
- Englisch
- Bachelor
- JavaScript
Software Engineer III, Spatial AI, XR
Google —Zürich, ZH
- 100%
- C++
- Bachelor
- Ohne Hochschulabschluss
5 Tage
Transformation Delivery Lead (Hybrid; m/f/x/d; 80-100%), Zurich (Zurich, CH)
Swiss Re —Zürich, ZH
- Hybrides Arbeiten
- Management-Erfahrung
- PMP
- Führungserfahrung
13 Tage
Senior Business Value Engineer, Oil & Gas
ANYbotics —Zürich, ZH
- Teilzeit
- Homeoffice
- Bis zu 50% Reiseanteil
- Projektmanagement
- Linux
Electrical Engineering - Internship
ANYbotics —Zürich, ZH
- CHF 3’000 pro Monat
- Englisch
- Master
- Bachelor

Ich möchte aktuelle Job-E-Mails für Stellen als data engineer data integration platform in zug zg erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

data engineer data integration platform jobs near zug zg

Jobs als Data Engineer in Zürich, ZH

Jobs als Senior Devops Engineer in Zürich, ZH

Jobs als Back End Developer in Zürich, ZH

Jobs als Engineer in Zürich, ZH

Jobs als Rf Engineer in Zürich, ZH

Jobs als Electrical Engineer in Zürich, ZH

Jobs als Technical Product Manager in Zürich, ZH

Jobs als Solutions Engineer in Zürich, ZH

Jobs als Senior Software Engineer in Zürich, ZH

Jobs als Software Engineer in Zürich, ZH

Jobs als Delivery Manager in Zürich, ZH

Jobs als Senior System Engineer in Zürich, ZH

Jobs als Customer Success Manager in Zürich, ZH

Jobs als System Engineer in Zürich, ZH

Jobs als Data Engineer in Nassen, Sg

Jobs als Data Engineer in Basel, Bs

Jobs als Data Engineer in Zug, Zg

Jobs als Data Engineer in Canton Of Geneva

Jobs als Ai Software Engineer in Zurigo, Zh

Jobs als Back End Developer in Home Office

Senior Data Pipeline Engineer

iGroove AG
Pfäffikon, SZ

Direkt bewerben

Details zur Stelle

100%

Qualifikationen

Google Cloud Platform
MongoDB
Datenbanken
AWS
PostgreSQL
Redis
Python

Vollständige Stellenbeschreibung

Your mission

We are hiring a Senior Data Pipeline Engineer to build and own our data ingestion infrastructure. This is not a support role. This is the person who owns the data backbone of the company.

We already have a working data infrastructure built over more than a decade in the music industry, with production pipelines, crawlers, and integrations feeding real products today. Our AI agents will use this data to scout artists, model deals, forecast revenue, and automate operations. Every insight, every recommendation, every automated decision starts with data that flows through the systems you will own.

Your job is to take what exists, make it yours, and scale it. Improve reliability, expand coverage, add new sources, and evolve the architecture as we grow. You will also design and build new pipelines where needed. The foundation is solid. What we need is the person who takes it to the next level.

This is a high-ownership hire. You will work closely with product and engineering, shape how we collect and process external data, and have real architectural authority from day one.

Your profile

What We're Looking For

Must have:

5+ years of experience building data pipelines and/or web crawling infrastructure in production environments
Strong Python skills: Scrapy, BeautifulSoup, Selenium, Playwright, or equivalent
Experience with pipeline orchestration tools such as Airflow, Prefect, or Dagster
Solid understanding of databases (PostgreSQL, MongoDB, or similar) and data modeling
Experience handling messy, inconsistent real-world data and building validation layers around it
Comfort with cloud infrastructure (AWS, GCP, or Azure)
A track record of building systems that run reliably without constant supervision
Deep familiarity with AI tools and workflows. AI should already be part of how you work every day. You are joining an AI-native company building AI-powered products.

Nice to have:

Experience with headless browsers and anti-detection techniques at scale
Familiarity with the music industry, streaming platforms, or media data
Experience with data warehousing (BigQuery, Snowflake, Redshift)
Exposure to message queues (Kafka, RabbitMQ, Redis)
Experience building internal tooling and dashboards

Who You Are

You think in systems, not scripts. You have built crawling or data ingestion infrastructure at a company where external data was a core input to the product, not a side project. You have dealt with the ugly realities: sites that change layouts overnight, anti-bot systems, rate limits, inconsistent APIs, and missing data. You have owned pipelines end to end.

You are self-directed. You make architectural decisions, not just execute tickets. You care about data quality almost obsessively. You are the kind of person who builds three validation checks where one would be "fine."

Why This Role

Your pipelines feed the AI agents that run scouting, deal modeling, royalties, release planning, and marketing for our clients.
You inherit a working data infrastructure built over more than a decade and make it yours.
We rebuilt the entire tech stack from scratch. No legacy to work around.
Small but highly skilled team. Your work ships fast and touches everything.
Remote-friendly with flexible hours. Office available in Zurich for those who prefer it.

How to Apply

Send your CV and a brief note describing a data pipeline or crawling system you built from scratch. We want to hear what scale it operated at, what broke, and how you fixed it.

About us

Label OS is the platform independent labels use to run their business. Distribution, royalties, analytics, release operations, deal modeling, scouting, marketing intelligence. Labels use Label OS to manage their catalog, track revenue, and make better decisions without building large teams to do it.

Our AI agents will handle the repetitive work across every department so the people can focus on what actually matters: finding artists and building careers.

Our clients include some of the most respected names in independent music. We are a small, senior team that fully leverages AI across every division. We move fast, ship real products, and are building the tools that independent labels actually need to compete.

Direkt bewerben

Erweiterte Suche

data engineer data integration platform Jobs in zug zg

Senior Data Pipeline Engineer

Forward Deployed Engineer

RF Application Engineer

Senior Data Engineer

System Engineer

Software Engineer III, AI/ML, Gemini Integration/Customisation

Software Engineering Internship

Technical Product Manager QVAC - 100% remote

Sr. DevOps Engineer

Senior Backend Engineer (Python)

Senior System Engineer

German-Speaking Solution Engineer - Retail & Consumer Goods

Senior Staff Software Engineer, Automotive AI

Senior Backend Engineer (Python) (Remote)

Software Engineer - IT Consultant

Senior Web / Software Developer – Atlassian Confluence & Microsoft SharePoint (80-100%)

Software Engineer III, Spatial AI, XR

Transformation Delivery Lead (Hybrid; m/f/x/d; 80-100%), Zurich (Zurich, CH)

Senior Business Value Engineer, Oil & Gas

Electrical Engineering - Internship

Ich möchte aktuelle Job-E-Mails für Stellen als data engineer data integration platform in zug zg erhalten

Related Searches

Weitere Job-Standorte erkunden

Your mission

Your profile

What We're Looking For

Who You Are

Why This Role

How to Apply

About us

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt