Cloud Data Engineer - GCP

Fincons Group is an IT business consulting company that has been designing the digital future of leading companies on international markets for 40 years. Fincons Group built its reputation on foreseeing and interpreting new business models and the rapid evolution of IT systems by building a complete range of services: from research and consulting to design and development, from system integration of leading vendor software solutions right up to application management, supporting clients step by step along their digital transformation journey. Fincons is a multinational with over 2,600 people and several offices worldwide (in Italy, Switzerland, Germany, France, the United Kingdom, Belgium and the USA), but above all a Family Company where the founders play a strategic role with commitment and passion, grounding the company in the same principles of a united and caring family.

We firmly believe in the value of cooperation and in the contribution that every idea and intuition can bring. We believe that everyone’s effort can make a difference. Transforming knowledge into a strategic resource is our company mission, and we pursue it with the help of our most strategic asset: our people.

We are Hiring!

We are looking for an experienced Data Engineer to join a long-term project for a client in the Banking Industry.
The ideal candidate will have a strong background in Data Warehousing, hands-on experience with the Google Cloud Platform (GCP), and be proficient in building robust, scalable, and secure data pipelines in a cloud-native environment.

You will collaborate with cross-functional teams to ensure high-quality data solutions that support business analytics and reporting needs.

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 
• Ensure data quality, consistency, and security across environments.
• Work closely with data analysts, architects, and stakeholders to translate business requirements into data solutions.

Tech Requirements and Qualifications

• 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 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
• Proficient in Python for automating data validation and anomaly detection process
• Fluent in both written and spoken Italian and English

We offer

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

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

Our personnel search is addressed to candidates of all genders.

The 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)