Senior Data Engineer (A)
For our client, a renowned bank based in Zurich, we are seeking an experienced Senior Data Engineer (A) to play a key role in designing, building, and enhancing a modern Data Platform that serves as the foundation for advanced Data Analytics and AI initiatives.
WORKLOAD
100%
WORKPLACE
Zürich / Remote (nur aus der Schweiz)
START DATE
01.11.2026
END DATE
31.10.2027
REFERENCE
4069
TYPE
Contracting
Please note that due to applicable Swiss legislation, we can only consider applications from Swiss citizens, EU citizens, and individuals with a valid work permit.
Remote work from abroad is not possible.
Tasks
Remote work from abroad is not possible.
Tasks
- Design, develop, and maintain scalable data pipelines, data products, and backend services supporting real-time decisioning, reporting, analytics, and AI use cases
- Design and implement data models for analytical and operational workloads, ensuring performance, scalability, and maintainability
- Produce high-quality, secure, testable, and maintainable code following engineering best practices
- Develop and maintain data governance, data quality, and monitoring solutions across the platform
- Collaborate with cloud, security, and architecture teams to ensure compliance with enterprise standards and cloud best practices.
- Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or a related technical field; or equivalent training and professional experience
- 5+ years of experience designing and implementing data engineering solutions and enterprise-scale data platforms
- 5+ years of experience building ETL/ELT pipelines, data warehouses, and modern data platform architectures
- 5+ years of experience developing and maintaining data applications and services using Python, Scala, or similar languages
- 5+ years of hands-on SQL experience, including performance optimization, data analysis, and troubleshooting
- 3+ years of experience with cloud data technologies, preferably Databricks on Azure
- Strong hands-on experience building and optimizing large-scale data processing solutions using Databricks and Apache Spark (PySpark, Spark SQL, Structured Streaming, Delta Lake)
- Experience working with structured, semi-structured, and unstructured data across a variety of data stores, including data warehouses, relational databases, object storage, and distributed data platforms
- Solid understanding of data modelling principles
- Experience implementing CI/CD pipelines and automated deployment practices
- Strong design, implementation, and testing skills
- Fluency in English
- Strong analytical mindset with a structured and solution-oriented approach
- Excellent communication skills and ability to collaborate with technical and business stakeholders
- High level of resilience and ability to prioritise effectively under pressure
Your contact
Georg Flügel
