Data Analitics - Industrial Digital Platform, Leon

Data Engineer - Industrial Digital Platform

Aunque la experiencia profesional y las cualificaciones son clave para este puesto, asegúrese de comprobar si posee las habilidades interpersonales preferibles antes de solicitar, si se requieren.

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 am to 6:30 pm (Fridays until 14:30) Location: Gta. Mar Caribe 1, Hortaleza | 28043, Madrid | Spain

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 Pipeline Engineering: • 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

Database&Storage Optimisation:• Optimise database performance and storage architecture • Ensure continuous reliability and efficiency of data systems Monitoring&Incident Response:• Monitor pipeline health and proactively detect issues • Diagnose failures quickly and ensure continuous data availability

Innovation:• Stay up to date with data engineering trends and tools • Introduce improvements that add real value to the platform

Profile• 6+ years of experience in data engineering, ideally in industrial or operational environments • Strong SQL skills and hands-on ETL/ELT experience with a focus on data quality • Proficiency in Python, Java, or Scala • Solid understanding of data modelling, data warehousing, and big datatechnologies (Spark, Hadoop)• Proven experience with Azure and Databricks • Experience in data governance (cataloguing, lineage, metadata, access control) • Familiarity xiphteb with data quality tools (Great Expectations, dbt tests, Soda) • Degree in Computer Science, Engineering, or a related field • Strong problem-solving skills and attention to detail• Excellent communication skills across technical and non-technical teams

Nice to Have• Experience building and optimising data lakes and warehouses in Azure • Real-time and streaming data processing (Event Hubs, Stream Analytics) • Experience with data mesh or data fabric architectures • Knowledge of regulatory frameworks (ISO, GDPR) • Experience with containerisationand orchestration (Docker, Kubernetes, ADF)

Languages• English — Fluent (required) • Spanish — Highly valued • Italian — Highly valued

What we offer• Strategic role with real impact on data-driven decision making • Dynamic and fast-growing environment • Opportunity to build and scale a modern industrial data platform

If you’re interested, feel free to apply.