Data Engineer

{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"trabajo.org","value":"JOB-3dc2140a62c4d3ca3f40"},"datePosted":"2026-05-22T02:41:03+02:00","validThrough":"2026-05-29T00:00:00+02:00","title":"Senior Data Engineer","baseSalary":{"@type":"MonetaryAmount","currency":"EUR","value":{"@type":"QuantitativeValue","unitText":"YEAR","minValue":3000045000,"maxValue":3000045000}},"hiringOrganization":{"@type":"Organization","name":"GlobalSysInfo"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Barcelona","addressCountry":"ES","addressRegion":"Barcelona"}},"description":"Senior Data Engineer (Azure + Databricks) Senior Data Engineer (Azure + Databricks) Hybrid (Barcelona) Company: GlobalSysInfo Services SL Location: Barcelona (Hybrid 3 days onsite, 2 days remote) Work Schedule: Full-time (Monday to Friday, 8 hours/day) Language Requirement: English Expert level Experience Required: Minimum 4 years Role Overview We are looking for a Senior Data Engineer with strong experience in Azure data services and Databricks to join a strategic data and analytics project. The role involves designing, building, and optimizing scalable data pipelines and supporting modern data platform initiatives. Required Skills Azure Data Lake Storage Azure Data Factory Databricks platform Apache Spark (job and cluster optimization) Databricks workflows and jobs Delta Lake Medallion architecture Data modelling Python and PySpark Advanced SQL Version control and CI/CD best practices Nice-to-Have Skills Scala programming Other cloud platforms (AWS or GCP) ETL development using third-party APIs Data streaming technologies (Spark Streaming) Infrastructure as Code (IaC) Data governance frameworks Education Requirements Degree in Computer Science, Mathematics, or a related technical discipline Working Model Hybrid setup (Barcelona area required) 3 days onsite / 2 days remote No travel required No on-call support required Standard business working hours What We Offer Opportunity to work on large-scale data platform initiatives Hybrid working environment Collaborative international team Long-term project stability Azure Data Lake Storage, Data Factory, Databricks, Spark, Python