We are seeking a Data Engineer to join our Data & Analytics team. In this role, you will focus on designing and building data pipelines, creating datasets, and developing automations within Google Cloud Platform (GCP). Key Responsibilities: * With moderate supervision, manage project progress, metadata collection, development, and overall execution. * Perform investigations on internal and external stakeholder queries under the high-level direction of the Team Leader. * Analyze problems, identify root causes, formulate findings/observations, suggest resolutions, and communicate them to internal/external stakeholders with moderate guidance from the Team Leader. * Maintain current knowledge of industry regulatory requirements (e.g., reporting mandates, concepts, procedures, compliance requirements, and regulatory frameworks). Support internal/external queries regarding data standards. * Enter and maintain accurate information within the documentation repository. * Follow established security protocols and actively identify and report potential vulnerabilities.



* Perform intermediate-level data quality checks following established procedures. Minimum Qualifications: * Bachelor's degree in a STEM field (Science, Technology, Engineering, or Mathematics). * Proven proficiency in Python, SQL, and Google Cloud Platform (GCP) tools. * Minimum of 3 years of experience as a Data Engineer or in a closely related role—specifically building and maintaining data pipelines, troubleshooting issues, ingesting/transforming data, designing and implementing complex data models, and optimizing performance. * Intermediate English language proficiency (written and spoken). * Strong ability to work collaboratively within a team environment. Preferred Qualifications: * Cloud Certification (preferably GCP). * Hands-on experience with Agile methodologies. * Familiarity with tools such as Jira, Aha, and Git. * Strong self-motivation with the ability to communicate and present complex technical

📌 Data Engineer (Madrid)
🏢 Equifax
📍 Madrid