Required skills
- Spark
- PySpark
- Java
- Python
- Data Pipelines
- ETL
- Big Data Platforms
- Cloudera
- Hadoop
- Databricks
- Distributed Systems
- Data Architecture
Languages: German
Job description
Seeking a Senior Spark Data Engineer / Big Data Engineer for a project involving Spark migration, data pipeline analysis, and optimization. The role requires strong experience with Spark, PySpark, Java/Python, and Big Data platforms.
Project overview
For an exciting project with our client in the Zurich or St. Gallen area (remote share only possible within Switzerland), we are looking for a Senior Spark Data Engineer / Big Data Engineer.
Key Facts
Responsibilities
Must-have requirements
Nice-to-have requirements
-
Further information
Let’s power the future together
From business case to implementation: As a leading consulting firm for strategic transformations, we are a trusted partner for our clients - and for our employees. Responsible, high-performing, and always with a focus on people. #WeAreWavestone
With our 360° portfolio of consulting services, we combine first-class industry expertise with a broad spectrum of cross-industry competencies, work interdisciplinarily, and think outside the box. We can thus offer our partner companies and freelancers comprehensive perspectives within our own projects and, as a long-term framework agreement partner, support them in filling project vacancies – promptly and directly.
We look forward to hearing from you!
Your direct contact at Wavestone
Lejla Nametak
Phone: [contact removed]
Email: [contact removed]
- Migration of existing solutions from Spark 3 to Spark 3.5
- Analysis and adaptation of data pipelines and loading frameworks
- Ensuring compatibility of existing applications
- Development and optimization of Spark-based processing processes
- Collaboration with data and platform teams
- Testing, error analysis, and performance optimization
- Documentation of technical changes
- Several years of experience as a Data Engineer or Big Data Engineer
- Very good knowledge of Spark and PySpark
- Experience with Java, Python, or comparable compiled languages
- Know-how in Big Data platforms such as Cloudera, Hadoop, or Databricks
- Knowledge of data pipelines and ETL processes
- Understanding of distributed systems and data architectures
- Ideally, experience with Spark upgrades and migration projects
- Open personality with a quick grasp
- Fluent German language skills, both written and spoken
- Assignment duration: from immediately until the end of 2026
- Workload: 50-60%
- Location: Zurich or St. Gallen area with remote share (only possible within Switzerland)
- per week
Project details
02.11.2026
2 months /
Utilization: 50 %
Type of assignment:
Zurich
Country: Switzerland
- Start: 2026-11-02
- Duration: 2 Monate /
- Remote: onsite
- Location: Zürich, Switzerland, CH
- Languages: German
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