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Senior Spark Data Engineer / Big Data Engineer

Original title: Senior Spark Data Engineer / Big Data Engineer (m/w/d) 50-60% (Ref.Nr.: 47975)

Wavestone Germany AG · Zürich, Switzerland · On-site · Senior

  • Zürich, Switzerland · On-site
  • 2 Monate /
  • German

Indexed (4 weeks ago) · refreshed constantly

Start
23 November 2026
Duration
2 Monate /
Work mode
On-site
Contract
Freelance / B2B
Seniority
Senior
Reference
47975

Required skills

Nice to have:Spark UpgradesMigration Projects

Languages: German

Job description

Seeking a Senior Spark Data Engineer/Big Data Engineer for a project involving Spark migration and data pipeline optimization. The role requires strong experience with Spark, PySpark, 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 company 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 of things
  • Fluent German language skills in spoken and written
  • Assignment duration: 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

23.11.2026

2 months /

Utilization: 50 %

Type of assignment:

Zurich

Country: Switzerland

  • Start: 2026-11-23
  • Duration: 2 Monate /
  • Remote: onsite
  • Location: Zürich, Switzerland, CH
  • Languages: German

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