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 solutions to diverse audiences (executives, managers, clients, or third parties).
- Excellent organizational, time management, prioritization, and planning skills.
- Fast learner with a versatile, reliable approach to solving new technical challenges.

📌 Data Engineer - Intermediate (Madrid)
🏢 Equifax
📍 Madrid