Principal Full-Stack Data Engineer

- Driving large-scale system and architecture initiatives across long-term energy planning, long- and short-term trading, including data flows, integration with neighboring systems, and the ongoing evolution of the data landscape. - Stepping in to unblock or lead complex engineering efforts, such as clarifying and redesigning lineage for datasets, fixing systemic data quality issues, and improving cross-team integrations. - Shaping and reviewing technical designs, ensuring robustness, scalability, and alignment with Enecos enterprise architecture. - Leading the design and implementation of data and ML platforms and pipelines using Databricks, Delta/Unity Catalog, Airflow, dbt, Snowflake, Azure, and related services. - Modernizing and refactoring legacy data and ML workflows to enhance reliability and transparency in data lineage. - Designing and building systems that integrate data and ML pipelines with other platforms and user-facing products. - Improving coherence and standardization across teams by promoting common patterns for data ingestion, modeling, and processing. - Ensuring solutions meet Enecos standards for security, compliance, and operational resilience. - Advising and supporting Engineering Managers in technical decision-making and planning topics. - Sharing best practices, running design reviews, and coaching engineers to level up the engineering bar across Eneco.