Data Analitics (Madrid)

Data Analitics (Madrid)

15 oct
|
Verdalia Bioenergy
|
Madrid

15 oct

Verdalia Bioenergy

Madrid

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 proact

📌 Data Analitics (Madrid)
🏢 Verdalia Bioenergy
📍 Madrid

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