Senior Data Engineer: Scalable Pipelines & ML-Ready Data

PROSTAFF Schweiz GmbH; Zürich; On-site; CHF 120,000 - 150,000; Full time

Job summary

PROSTAFF Schweiz GmbH seeks a Senior Data Engineer to design scalable data architectures and build distributed pipelines across cloud and on‑prem environments. You’ll enable data for operations, analytics, and ML workloads with reliable processing.

You’ll collaborate with data scientists, optimize pipelines for performance and cost, and work with Python/SQL, big data tech, and cloud services. Fluent German and English are required.

Qualifications

• Degree in computer science, mathematics or a related field.
• Several years of experience in technical roles, with strong Python and SQL skills.
• Sound knowledge of big data infrastructure, scalable databases and distributed processing.
• Good understanding of public cloud services such as AWS, Azure or Google Cloud.

Responsibilities

• Design and maintain scalable data architectures and pipelines across cloud and on-premises environments.
• Integrate diverse data sources and ensure processing is reliable and reproducible.
• Test and monitor distributed pipelines and estimate performance and costs for different use cases.
• Collaborate with data scientists to prepare datasets for machine learning and build dashboards that make processed data accessible to users.

Skills

Python

SQL

Big data

Distributed processing

DevOps practices

Education

Bachelor's degree in CS/Math related field

Tools

Spark

Hadoop

Hive

Airflow

Kubernetes

Job description

PROSTAFF Schweiz GmbH seeks a Senior Data Engineer to design scalable data architectures and build distributed pipelines across cloud and on‑prem environments. You’ll enable data for operations, analytics, and ML workloads with reliable processing.

You’ll collaborate with data scientists, optimize pipelines for performance and cost, and work with Python/SQL, big data tech, and cloud services. Fluent German and English are required.