Are you a GCP expert looking to build high-performance data architectures for a global leader in fintech and B2B credit solutions ? Avenue Code is looking for a Mid/Sr Data Engineer expert on GCP to join a strategic initiative for one of our global partners. This client is a pioneer in the financial sector, currently expanding its footprint across the Americas through a major merger. You will be at the heart of this transformation, supporting multiple in-house solutions and scaling data pipelines that impact the market directly. Mexico: On-site (5x week in-office). Timezone: Alignment with US/MX/BR. Seniority: Mid/Senior Languages needed: Spanish and English Main Responsibilities Design, maintain, and optimize robust ETL/ELT pipelines using Dataflow, BigQuery, and Spark . Collaborate with Architects to ensure data models align with strict quality and security standards fro Data Governance . Leverage Terraform (Infrastructure as Code ) and CI/CD practices to ensure scalable and repeatable deployments. Work with Airflow/Cloud Composer and dbt to manage complex data workflows Orchestration . Security: Implement encryption and IAM/RBAC to protect sensitive financial data. Required Qualifications 3+ years of experience in Data Engineering working with large-scale distributed systems. Strong programming and querying skills in Python, SQL, and NoSQL databases . Experience with data processing frameworks such as Apache Beam, Apache Spark, or Dataflow. Hands-on experience building cloud-native data pipelines, preferably in Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage). Solid understanding of ETL/ELT processes, data modeling, and schema design. Experience with workflow orchestration tools such as Apache Airflow, Cloud Composer, or dbt . Proven experience implementing data quality validation, monitoring, and error-handling mechanisms. Experience with CI/CD practices and Infrastructure as Code tools (e.g., Terraform). Understanding of data security best practices, including encryption, IAM/RBAC, and compliance standards (e.g., GDPR, HIPAA). Nice To Have Skills Exposure to machine learning workflows, including feature engineering pipelines. Background in DevOps practices, especially CI/CD integration with data pipelines. Experience mentoring junior engineers or leading technical initiatives. Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code’s consultants are allocated to perform its services. #J-18808-Ljbffr