20 meilleures offres (data engineer, zürcher oberland) (à pourvoir)

Senior Data Pipeline Engineer
iGroove AG —Pfäffikon, SZ
- 100%
- Télétravail
- Bases de données
- AWS
- Python
Postuler rapidement
Senior Data & Analytics Engineer (Europe, 100% remote)
LimeFlight —Zürich, ZH
- 100%
- Télétravail
- Anglais
- SQL
- Niveau Licence
Postuler rapidement
Database / Data Warehouse Engineer 80-100% (m/w)
Kinderspital Zürich —Zürich, ZH
- Anglais
- SQL
- Python
Senior Portfolio Engineer and Financial Data Specialist, 100% (f/m/d)
Julius Baer —Zürich, ZH
- 100%
- Gestion du personnel
- Analyse de données
- Anglais
DCEO Chief Engineer , Data Center Engineering Operations
Amazon Data Services Switzerland GmbH —Zürich, ZH
- 100%
- Bar
- Schémas
- Anglais
AI & Data Engineer (Intern)
Focuslight —Zürich, ZH
- Gestion du personnel
- Anglais
- Bases de données
Data Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Zürich, ZH
- Informatique
- Anglais
- Java
CAD PLM Engineer Solutions Architect
Audi Motorsport AG —Hinwil, ZH
- 100%
- Gestion du personnel
- CAD
- Anglais
il y a 4 jours
Intermediate Security Engineer Logging SIEM Data Pipelines 100% (f/m/d)
Julius Baer —Zürich, ZH
- 100%
- Anglais
- SQL
- Niveau Licence
Fullstack: Frontend Backend CAD AI IoT Engineer – Coding Wizard ( 70% - 100% ) (remote/onsite)
Imnoo AG —Zürich, ZH
- Temps partiel
- Travail hybride
- CAD
- Analyse de données
- Recherche
Postuler rapidement
Senior AI Engineer – Pro-Code & Agentic Solutions, Microsoft AI Foundry (80–100%)
Vontobel Holding AG —Zürich, ZH
- 100%
- Anglais
- Technologies de l'information
- Python
Data Center Technician (DCO), Data Center Operations
Amazon Data Services Switzerland GmbH —Zürich, ZH
- 100%
- Bar
- Microsoft Excel
- AWS
il y a 5 jours
Data Generalist / Senior Data Scientist-Engineer (m/f) 80 - 100%
NZZ-Mediengruppe —Zürich, ZH
- Anglais
- Niveau Master
- SQL
- Travail à domicile
Software Engineer III, AI/ML, Google Cloud, Automotive
Google —Zürich, ZH
- 100%
- Informatique
- Niveau Doctorat
- Niveau Master
Principal Forward Deployed Engineer- Data Scientist - German Speaking
Microsoft —Zürich, ZH
- De 146 200 CHF à 309 700 CHF par an
- Heures supplémentaires
- Niveau Doctorat
- Niveau Master
- Niveau Licence
- Congé pour raisons familiales
il y a 11 jours
Electronics Engineer
3Brain AG —Freienbach, SZ
- 100%
- Schémas
- Anglais
- Niveau Master
Postuler rapidement
Cloud & IoT Solution Engineer (w/m/d)
Acutronic —Bubikon, ZH
- 100%
- Anglais
- JavaScript
- Technologies de l'information
Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Zürich, ZH
- Niveau Doctorat
- Anglais
- Niveau Master
Production Engineer MOCVD
Coherent Corp. —Zürich, ZH
- 100%
- Niveau Doctorat
- Anglais
- Niveau Master
Junior Mechanical Engineer (MCF/ Data Centres)
Royal HaskoningDHV —Zürich, ZH
- 100%
- Anglais
- Niveau Master
- Niveau Licence

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Senior Data Pipeline Engineer

iGroove AG
Pfäffikon, SZ

Postuler rapidement

Détails de l'emploi

100%

Qualifications

Google Cloud Platform
MongoDB
Bases de données
AWS
PostgreSQL
Redis
Python

Description complète du poste

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.

Postuler rapidement

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data engineer emplois - zürcher oberland

Senior Data Pipeline Engineer

Senior Data & Analytics Engineer (Europe, 100% remote)

Database / Data Warehouse Engineer 80-100% (m/w)

Senior Portfolio Engineer and Financial Data Specialist, 100% (f/m/d)

DCEO Chief Engineer , Data Center Engineering Operations

AI & Data Engineer (Intern)

Data Engineer - QuantumBlack, AI by McKinsey

CAD PLM Engineer Solutions Architect

Intermediate Security Engineer Logging SIEM Data Pipelines 100% (f/m/d)

Fullstack: Frontend Backend CAD AI IoT Engineer – Coding Wizard ( 70% - 100% ) (remote/onsite)

Senior AI Engineer – Pro-Code & Agentic Solutions, Microsoft AI Foundry (80–100%)

Data Center Technician (DCO), Data Center Operations

Data Generalist / Senior Data Scientist-Engineer (m/f) 80 - 100%

Software Engineer III, AI/ML, Google Cloud, Automotive

Principal Forward Deployed Engineer- Data Scientist - German Speaking

Electronics Engineer

Cloud & IoT Solution Engineer (w/m/d)

Data Scientist - QuantumBlack, AI by McKinsey

Production Engineer MOCVD

Junior Mechanical Engineer (MCF/ Data Centres)

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data engineer (zürcher oberland)

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