Data Engineer (Databricks, Snowflake) (Ref. #26339)

PROSTAFF Schweiz GmbH; Zürich; Vor Ort; CHF 100.000 - 140.000; Vollzeit

Zusammenfassung

PROSTAFF Schweiz GmbH sucht einen Advanced Data Engineer, um Daten-Pipelines zu erstellen und zu warten. Sie arbeiten eng mit Kunden zusammen, um deren Bedürfnisse zu verstehen und verschiedene Datenquellen zu zuverlässigen Datensätzen zu vereinheitlichen.

Sie designen, entwickeln und überwachen verteilte Pipelines für Batch- und Streaming-Workloads, integrieren Datenquellen und beraten Kunden zu technischen Optionen sowie Design-Entscheidungen.

Qualifikationen

• Degree in computer science, software engineering, data science or a comparable qualification.
• At least three years of experience in data engineering or software engineering.
• Practical Python and SQL skills and hands-on experience with relational and non-relational databases.
• Experience with data lakes, lakehouses and medallion architectures.

Aufgaben

• Design, develop, test and monitor distributed data pipelines for batch and streaming workloads.
• Integrate structured and unstructured data and produce reproducible datasets for data consumers.
• Advise clients on technical options and explain design decisions to stakeholders.
• Collaborate with architects, software engineers and data scientists to deliver data products iteratively.

Kenntnisse

Python

SQL

Data pipelines

Agile DevOps

German language

English language

Ausbildung

Degree in computer science, software engineering, data science or a comparable qualification

Tools

Databricks

Snowflake

Microsoft Fabric

Amazon SageMaker

Spark

Delta Lake

Airflow

Kafka

Kubernetes

Terraform

Jobbeschreibung

For one of our clients, we are looking for an Advanced Data Engineer to build and maintain data pipelines and data products. You will work directly with clients to understand their needs and turn diverse data sources into reliable, reusable datasets.

• Design, develop, test and monitor distributed data pipelines for batch and streaming workloads.
• Integrate structured and unstructured data and produce reproducible datasets that meet the needs of data consumers.
• Advise clients on technical options and explain design decisions to technical and business stakeholders.
• Work with architects, software engineers and data scientists to deliver data products iteratively.

• Degree in computer science, software engineering, data science or a comparable qualification.
• At least three years of experience in data engineering or software engineering.
• Practical Python and SQL skills and hands-on experience with relational and non-relational databases.
• Experience building and maintaining data products, with knowledge of architectures such as data lakes, lakehouses and medallion architectures.
• Experience with cloud data platforms such as Databricks, Snowflake, Microsoft Fabric or Amazon SageMaker.
• Familiarity with large-scale data processing, data analysis and visualisation, as well as agile development and DevOps.
• Hands-on experience with or interest in technologies such as Spark, Delta Lake, Airflow, Kafka, Kubernetes or Terraform.
• Fluent German and English.

Einsatzort: Zürich
Startdatum: 01.12.2026
Pensum: 100%
Projektdauer: 6 Monate ++