11 beste Stellen als machine learning python in zürich, zh – aktuell auf Personalsuche

Senior Data Engineer
Zühlke —Schlieren, ZH
- 100%
- Homeoffice
- Microsoft Excel
- Englisch
- Java
- Homeoffice-Möglichkeit
Software Architect - Product Recommendations (w/m/d)
Digitec Galaxus AG —Zürich, ZH
- Teilzeit
- Homeoffice
- Englisch
- Master
- SQL
- Homeoffice-Möglichkeit
Lead Kernel Engineer/Architect
EPAM Systems, Inc. —Zürich, ZH
- C++
- Bachelor
- Ohne Hochschulabschluss
- Eltern-/Erziehungsurlaub
- Pensionskasse
Pricing Aktuar Special Lines (m/w/d) 70-100%
Zurich Insurance —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Englisch
- Master
- Bachelor
4 Tage
Quant Engineer - Capital Market Technologies
Swiss Quant —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Doktorat
- Englisch
- Java
Direkt bewerben
Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Direkt bewerben
(Senior) KI-Berater (w/m/d), 80-100%
emineo AG —Baar, ZG
- Englisch
- SQL
- Führungserfahrung
DevOps Engineer /Deployment Manager
b-rayZ AG —Zürich, ZH
- Teilzeit
- Management-Erfahrung
- Englisch
- AWS
Data Architect mit einem Flair für AI
ti&m AG —Zürich, ZH
- Englisch
- Java
- Master
Mid / Senior SLAM Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Manager / Senior Consultant - Financial Risk Management mit Fokus Kreditrisiko-Modellierung
EY —Zürich, ZH
- Doktorat
- Englisch
- Master
- Weiterbildungsprogramme

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Senior Data Engineer

Zühlke -
Schlieren, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Leistungen

Homeoffice-Möglichkeit

Qualifikationen

Microsoft Excel
Spark
NoSQL
Englisch
Google Cloud Platform
Apache Hive
.NET
Java
SQL
AWS
Bachelor
Softwareentwicklung
Python
Deutsch

Vollständige Stellenbeschreibung

Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future – to run smarter today while adapting for tomorrow’s markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses.

If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey.

The role

As an Expert Data Engineer, you are a key player in designing, implementing, and maintaining data pipelines and architectures. You work closely with clients to understand their data needs and realise tailored solutions that drive business insights. Your technical expertise and strong methodology help you bring your projects and clients to success.

How you’ll make an impact

Whether in the cloud or an on-premises data center, you expertly navigate the world of Big Data, helping our clients make their data business- or operations-ready.
You access diverse data sources efficiently and reproducibly.
You design, test, and monitor distributed data processing pipelines.
You work closely with data scientists in the creation of machine learning models.
You perform performance and cost estimations for various use cases.
You develop and create meaningful dashboards to visualize processed data.

What’s important to us

You are comfortable with Big Data, massively scalable databases, cloud infrastructures, and distributed algorithms.
You have a passion for sustainable software development and have gathered several years of experience in technical roles.
Along with your expertise in Python and SQL, you ideally have hands-on experience or a strong interest in technologies such as Hadoop, Apache Spark, Hive, Airflow, RDBMS, NoSQL, DevOps, Kubernetes, and Java or .NET
You have a good understanding of the capabilities in large public cloud environments and may have used resources from Amazon AWS, MS Azure, or Google’s GCP.
You hold a university degree (ETH, Uni, FH) in Computer Science, Mathematics, or a similar field.
Fluency in both German and English is required for this position.

What we offer

Work life blend: we offer a safe & healthy workplace, with flexible working hours and the possibility to work from home
Profit share scheme: In addition to your annual salary, you may receive a profit share defined by the company’s success in the previous year
Global and Diverse Zühlke community: witness how colleagues from all our 17 offices across the globe come together to create a unique, positive and inclusive work culture, learning from one another at annual team camps, and celebrating year-end parties and other local festivities.
Committed to development: we are committed to the growth of our people and are investing in your development. We’re empowering you to build the skills you need to make a positive impact, both personally and for our clients, today and in the future.

If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application!

We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.

Jetzt bewerben

Erweiterte Suche

machine learning python Jobs in zürich, zh

Senior Data Engineer

Software Architect - Product Recommendations (w/m/d)

Lead Kernel Engineer/Architect

Pricing Aktuar Special Lines (m/w/d) 70-100%

Quant Engineer - Capital Market Technologies

Senior Software Engineer - Distributed Systems

(Senior) KI-Berater (w/m/d), 80-100%

DevOps Engineer /Deployment Manager

Data Architect mit einem Flair für AI

Mid / Senior SLAM Engineer

Manager / Senior Consultant - Financial Risk Management mit Fokus Kreditrisiko-Modellierung

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