Senior Data Engineer - Remote Cloud Pipelines & ML

Zühlke Group; Bern; Hybrid; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Work-life blend

Profit sharing

Global community

Development opportunities

Zusammenfassung

Zühlke Group in Switzerland seeks a Senior Data Engineer to design and maintain data pipelines and architectures, working with clients to tailor data solutions. You will access diverse data sources, build distributed processing, and collaborate with data scientists on ML models.

You should have strong Python/SQL skills, experiencia with big data stacks, and cloud platforms, plus fluency in German and English. Hybrid work options and global projects await.

Qualifikationen

• Fluency in German and English required.
• University degree in Computer Science, Mathematics, or a related field (ETH/Uni/FH).
• Several years of technical experience in relevant roles.
• Comfort with Big Data, cloud infrastructures, and distributed algorithms.

Aufgaben

• Design, implement, and maintain data pipelines and architectures.
• Collaborate with clients to understand data needs and deliver tailored solutions.
• Access diverse data sources efficiently and reproducibly.
• Design, test, and monitor distributed data processing pipelines.
• Work with data scientists on ML models.
• Estimate performance and cost for various use cases.
• Develop dashboards to visualize processed data.

Kenntnisse

Big Data

Cloud infra

Distributed algorithms

Python

SQL

DevOps

Kubernetes

Java

.NET

Hadoop

Apache Spark

Hive

Airflow

RDBMS

NoSQL

AWS

Azure

GCP

German language

English language

Ausbildung

University degree in CS/Math/related (ETH/Uni/FH)

Tools

Python ecosystems

SQL tooling

DevOps tooling

Cloud platforms

Big data tech stack

Jobbeschreibung

Zühlke Group in Switzerland seeks a Senior Data Engineer to design and maintain data pipelines and architectures, working with clients to tailor data solutions. You will access diverse data sources, build distributed processing, and collaborate with data scientists on ML models.

You should have strong Python/SQL skills, experiencia with big data stacks, and cloud platforms, plus fluency in German and English. Hybrid work options and global projects await.