Big Data Engineer (Ref. #26340)

PROSTAFF Schweiz GmbH; Zürich; Vor Ort; CHF 120.000 - 150.000; Vollzeit

Zusammenfassung

PROSTAFF Schweiz GmbH seeks a Senior Data Engineer to design scalable data architectures and build distributed pipelines across cloud and on-premises environments in Zürich. You will prepare data for analytics, ML and operational use, collaborating with data scientists and delivering dashboards for end users.

The role requires a degree in CS or related field, several years in technical roles, and fluent German and English to work in a bilingual setting.

Qualifikationen

• Degree in computer science, mathematics or a related field.
• Several years of experience in technical roles, with strong Python and SQL skills and a focus on maintainable software.
• Sound knowledge of big data infrastructure, scalable databases and distributed processing.
• Good understanding of public cloud services such as AWS, Azure or Google Cloud.
• Experience with or interest in tools such as Spark, Hadoop, Hive, Airflow or Kubernetes, and familiarity with relational or NoSQL databases and DevOps practices.
• Fluent German and English.

Aufgaben

• 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.

Kenntnisse

Python

SQL

Big data

Software maintainability

German language

English language

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Spark

Hadoop

Hive

Airflow

Kubernetes

AWS

Jobbeschreibung

For one of our clients, we are looking for a Senior Data Engineer to design data architectures and build distributed pipelines across cloud and on-premises environments. Your work will make data ready for operational use, analytics and machine learning.

• 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.

• Degree in computer science, mathematics or a related field.
• Several years of experience in technical roles, with strong Python and SQL skills and a focus on maintainable software.
• Sound knowledge of big data infrastructure, scalable databases and distributed processing.
• Good understanding of public cloud services such as AWS, Azure or Google Cloud.
• Experience with or interest in tools such as Spark, Hadoop, Hive, Airflow or Kubernetes, and familiarity with relational or NoSQL databases and DevOps practices.
• Fluent German and English.

Einsatzort: Zürich
Startdatum: 01.12.2025
Pensum: 100%
Projektdauer: 6 Monate ++