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Senior Data Engineer (A)

<p>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.</p>

Description

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

• 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.

Requirements

• 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

Soft Skills

• 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