Data Engineer - GCP

We are looking for an experienced Data Engineer to join a long-term project for a client in the Banking Industry.

• Design and implement ETL/ELT pipelines and manage complex data workflows across multiple layers (staging, warehouse, data mart).
• Develop efficient and scalable data models aligned with business needs.
• Use Big Query to support large-scale data processing and analytics.
• Orchestrate data workflows.
• Perform data transformations using DBT (Data Build Tool) or similar tools.
• Collaborate with Dev Ops teams on infrastructure provisioning and deployment.
• Ensure data quality, consistency, and security across environments.
• Work closely with data analysts, architects, and stakeholders to translate business requirements into data solutions.

• Bachelor's or Master's degree, preferably 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 Big Query.
• Hands‑on experience using Apache Airflow and Data Build Tool (DBT) 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.
• Proficiency in Python for automating data validation and anomaly detection processes.
• Fluent in both written and spoken Italian and English.

Data will be processed and stored exclusively for the purposes of this or future selections, in compliance with the Federal Data Protection Law (LPD) and guaranteeing the rights referred to in art. 13 Legislative Decree 196/03 and EU regulation 679/2016 (GDPR).

• Swiss employment contract.
• Challenging and international projects.
• Positive work environment.
• Possibility to work in a leading international banking area.

We do not provide a fully remote work policy. 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.

Our personnel search is addressed to candidates of all genders.