The role requires English language skills, and candidates to be based in Zurich or a commutable distance, as the role is hybrid.
Key Responsibilities:
- Design, develop, and maintain ETL/ELT pipelines using Informatica PowerCenter/IDQ and Apache Spark.
- Collaborate with business stakeholders, data analysts, and data scientists to gather requirements and translate them into scalable data solutions.
- Work with structured and unstructured data from multiple banking domains (e.g., retail, risk, compliance, payments).
- Implement best practices for data integration, quality, lineage, and governance to meet banking regulatory and compliance standards.
- Optimise Spark jobs and workflows for performance, scalability, and cost efficiency.
- Partner with infrastructure and cloud teams to support deployment and monitoring of data pipelines on-premises and/or in cloud environments (AWS/Azure/GCP).
- Develop and maintain technical documentation, data dictionaries, and process workflows.
- Support production operations by troubleshooting, resolving issues, and implementing preventive measures
Desirable Requirements:
- Strong background in Data Engineering
- Experience with Spark
- Informatica experience
- Python and SQL experience
The role offers the flexibility of a hybrid work arrangement and is a 6-12 month contract with possibility of extension.
