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.
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

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

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

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

Cross‑functional collaboration

Translate complex requirements from engineers, analysts, and scientists into robust solutions
Work closely with multiple teams to deliver production‑grade data systems
Optimise database performance and storage architecture
Ensure continuous reliability and efficiency of data systems
Monitor pipeline health and proactively detect issues
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📌 Data Analitics (Madrid)
🏢 Verdalia Bioenergy
📍 Madrid