Cloud Data Engineer - Data Warehousing Expert
We are seeking a highly skilled Cloud Data Engineer to join our team. As a key member of our data warehousing team, you will be responsible for designing and implementing robust, scalable, and secure data pipelines in a cloud-native environment.
Data Engineering Responsibilities:
* Design and implement ETL/ELT pipelines and manage complex data workflow across multiple layers (staging, warehouse, data mart)
* Develop efficient and scalable data models aligned with business needs
* Use BigQuery to support large-scale data processing and analytics
* Orchestrate data workflows
* Perform data transformations using DBT (Data Build Tool) or similar tools
* Collaborate with DevOps teams on infrastructure provisioning and deployment
* Evaluate data quality, consistency, and security across environments
Tech Requirements and Qualifications:
* Bachelor's or Master's degree in Computer Science or Engineering
* 4+ years of experience with Data Warehouse solutions, ideally in the Financial Services/Banking sector
* Deep understanding of data warehousing concepts, including schema design and optimization based on usage patterns
* Proven experience with Google Cloud Platform (GCP) with BigQuery
* Hands-on experience using Apache Airflow and Data Build Tool or similar tools
* Expert-level proficiency in SQL, with extensive experience in writing and optimizing complex queries, developing and managing stored procedures, and fine-tuning performance for large datasets
* Hands-on experience in developing ETL processes and maintaining systems for tracking data quality and consistency in large-scale and complex datasets
Benefits:
* Swiss employment contract
* Challenging and international projects
* Positive work environment
* Possibility to work in a leading international banking area
Work Environment:
* Candidates should be open to relocating either to Canton Ticino (Switzerland) or to towns near the Swiss-Italian border
* Work-from-home days may be possible according to the Client's policy