Our Industrial Digital Platform team is looking for a Data Engineer to build and scale the data backbone that powers decision-making across engineering, operations, and leadership.

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We are developing a modern data platform focused on transforming industrial and operational data into a reliable, high-quality asset. This role sits at the intersection of industrial systems and cloud data technologies, with a strong emphasis on data quality, governance, and scalability.

This is a hands‑on role for someone who takes ownership, cares deeply about data integrity, and is comfortable working across the full data stack.

Conditions

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- Permanent contract
- Hybrid model: 1 day of remote work per week
- Working hours: 9:30 a.m. to 6:30 p.m. (Fridays until 2:30 p.m.)

Mission of the role
Design, build, and maintain a robust, scalable, and validation‑first data infrastructure that ensures high‑quality, reliable data across the industrial digital platform.





You will act as a key contributor to data architecture and governance, ensuring that data is accurate, accessible, and trusted across all business functions.

Key responsibilities
Data Quality & Governance

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- Define and enforce validation standards across all data systems
- Ensure data accuracy, consistency, and integrity from ingestion to consumption
- Design and maintain data contracts, lineage tracking, and cataloguing practices
- Design, build, and maintain scalable data pipelines with validation embedded at every stage

ETL/ELT Development

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- Build and evolve ETL/ELT processes with automated quality checks
- Ensure issues are detected and resolved before reaching downstream users

Cross‑functional collaboration

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- Translate complex requirements from engineers, analysts, and scientists into robust solutions
- Work closely with multiple teams to deliver production‑grade data systems
- Optimise da

📌 Data Analitics (Madrid)
🏢 Verdalia Bioenergy
📍 Madrid