Drive data pipeline efficiency and transformation as a skilled Data Engineer. Main Responsibilities: Design, build, and maintain ETL/ELT pipelines to ensure seamless data flow and efficient transformation. Implement automation frameworks for data ingestion, transformation, and reporting. Develop and manage CI/CD pipelines and containerized environments (Docker, Kubernetes). Define data governance standards and apply GDPR compliance principles (lineage, documentation, security). Monitor and optimize pipeline performance and data processes. The idóneo candidate will possess: 3–4+ years of experience in data engineering or similar roles. Proven expertise with ETL/ELT processes and data pipeline orchestration. Strong proficiency in Python and SQL (expert level). Hands-on experience with Docker, Kubernetes, and CI/CD automation tools. Solid understanding of data governance, security, and GDPR compliance. Strong analytical and problem-solving mindset; proactive and collaborative approach.