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Data Analytics Engineer – Hadoop, Python, Cloudera

Job in 4040, Basel, Kanton Basel-Landschaft, Switzerland
Listing for: Stiftung Weizenkorn
Full Time position
Listed on 2026-06-18
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 100000 - 125000 CHF Yearly CHF 100000.00 125000.00 YEAR
Job Description & How to Apply Below

vacancy for our Basel based client in the Banking sector

Responsibilities
  • Develop code and implement end-to-end data pipelines with optimal extraction, transformation and loading of data from diverse sources using Spark, SQL and other modern technologies
  • Collaborate with business analysts and stakeholders to identify, capture, and analyse requirements, translating them into effective technical solutions
  • Contribute to the design and evolution of the overall data architecture, ensuring alignment with modern data management practices
  • Maintain and support data pipelines on shared data platforms, while incorporating business rules, security and retention requirements
  • Support proof of concepts, stay current with industry standards and assist with the adoption of new technologies in the data platform area
Qualifications and Experience
  • Minimum 5 years of hands‑on experience working with modern data technologies, including building data ingestion pipelines for data warehouses or lake/lakehouse architectures
  • Proven experience with Python and open‑source data technologies such as Hadoop, Spark, Hive, Kafka, or similar, preferably with Cloudera
  • Strong background in data modelling, design patterns, and building scalable applications
  • Experience with in banking/financial institutions, with knowledge of financial instruments, trade lifecycle, or risk management is an advantage
  • Language skills:
    English
  • Valid Swiss work permit required. Candidates must be Swiss nationals, EU citizens, or current work‑permit holders for Switzerland
Soft Skills
  • Excellent verbal and written communication skills, with the ability to explain complex technical concepts in simple terms
  • Collaborative mindset and capacity to work effectively within multidisciplinary teams
  • Strong problem‑solving skills and a commitment to continuous learning and improvement
EEO Statement

We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application.

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