Data Engineer - GCP

Das ist der Job

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

Darum lohnt es sich

Collaborate with DevOps teams on infrastructure provisioning and deployment. Benefits Swiss employment contract. Challenging and international projects. Possibility to work in a leading international banking area.

Responsibilities 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 BigQuery to support large-scale data processing and analytics. Orchestrate data workflows.

Perform data transformations using DBT (Data Build Tool) or similar tools. Ensure data quality, consistency, and security across environments. Work closely with data analysts, architects, and stakeholders to translate business requirements into data solutions.

Qualifications and Technical Requirements 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 BigQuery. 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.

Additional Requirements 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). Positive work environment.

Location Requirement 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.

Equal Opportunity Our personnel search is addressed to candidates of all genders. #J-18808-Ljbffr