20 beste Stellen als 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
Operations Engineer
Open Systems AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Analysefähigkeit
- Linux
Direkt bewerben
1 Tag
AI CAD CAM IoT Engineer / Tinkerer CNC
Imnoo AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- CAD
- C++
- Python
Direkt bewerben
11 Tage
Software Engineer III, AI/ML, Gemini Integration/Customisation
Google —Zürich, ZH
- CHF 106’000 - CHF 109’000 pro Jahr
- 100%
- Informatik
- Doktorat
- Forschungserfahrung
8 Tage
RF Application Engineer
Sequans —Zürich, ZH
- Master
- Analysefähigkeit
- Bachelor
Flight Test Instrumentation Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Master
- Kommunikationsfähigkeit
Direkt bewerben
Design Engineer
Cradle —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Kommunikationsfähigkeit
10 Tage
Principal Field Engineer
Cognite - AI for Industry —Zürich, ZH
- Management-Erfahrung
- PMP
- AWS
Direkt bewerben
4 Tage
PLM Product Owner/Admin
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Englisch
- Bachelor
- Kommunikationsfähigkeit
Direkt bewerben
Solution Architect
DeepJudge —Zürich, ZH
- 100%
- Datenbanken
- Bachelor
Head of Engineering
LimeFlight —Zürich, ZH
- 100%
- Homeoffice
- Management-Erfahrung
- Englisch
- Bachelor
Senior AI Engineer
RepRisk AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Master
- AWS
- Mentoring
Direkt bewerben
8 Tage
System Engineer
Auterion —Zürich, ZH
- Master
- C++
- Bachelor
- Eltern-/Erziehungsurlaub
- Pensionskasse
Direkt bewerben
Senior Android (KMP) Mobile Developer
Specialized —Cham, ZG
- 100%
- Mentoring
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- Kommunikationsfähigkeit
10 Tage
Forward Deployed Engineer - German Speaking
Happyrobot Inc. —Zürich, ZH
- 100%
- Homeoffice
- Master
- Kommunikationsfähigkeit
- Python
Senior Test Engineer
u-blox —Thalwil, ZH
- Management-Erfahrung
- Datenanalyse
- Laborerfahrung
Simulation Lead Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Englisch
- Master
- AWS
Senior Technical Support Engineer, Observe by Snowflake
Snowflake —Zürich, ZH
- Bereitschaftsdienst
- Informatik
- Windows
- SQL
Fuel - Senior Web3 Software Engineer
deCircle —Zürich, ZH
- 100%
- Homeoffice
- Oracle
- Bachelor
- JavaScript
Direkt bewerben
Silicon Photonics Design, Principal Engineer
Marvell —Adliswil, ZH
- 100%
- Doktorat
- Master
- Kommunikationsfähigkeit
4 Tage

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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

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