Data Engineer - Industrial Digital Platform (Ortigueira)

Data Engineer
- Industrial Digital Platform Aunque la experiencia profesional y las cualificaciones son principal 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 data technologies (Spark, Hadoop)
- Proven experience with Azure and Databricks
- Experience in data governance (cataloguing, lineage, metadata, access control)
- Familiarity xbhjioe 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 containerisation and 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. Postúlate en Kit Empleo: kitempleo.es/empleo/6u5tu9