Databricks Data EngineerLocation: Madrid, Spain - HybridContract: Initial 6 monthsDay Rate: €275-€300 per dayI'm currently recruiting for a Databricks Data Engineer to join a data-focused team in Madrid.This is a hands-on engineering role for someone with strong experience in Databricks, PySpark and Python, who can independently design, build and optimise scalable data pipelines.Key ResponsibilitiesDesign and develop end-to-end data pipelines from source systems through to Gold-layer datasetsBuild scalable data processing solutions using Databricks and PySparkDevelop robust Python-based data engineering solutionsImplement data ingestion from multiple sources, including APIs, databases and filesWork with Medallion Architecture - Bronze, Silver and Gold layersPerform data transformation using PySpark and SQLProcess and manage large-scale datasetsOptimise pipeline performance and Databricks workloadsEnsure data quality,



reliability and maintainabilityRequired SkillsStrong hands-on experience with DatabricksAdvanced PySpark developmentStrong Python programming skillsStrong SQL and data transformation experienceProven experience building end-to-end data pipelinesExperience with data ingestion from APIs, databases, files and other sourcesExperience implementing Medallion ArchitectureExperience handling large-scale data processingStrong understanding of pipeline performance and optimisationStrong spoken and written English and Spanish language skillsWorking EnvironmentHybrid working environment in MadridAvailability to attend the Madrid office on specific days and for important collaborative meetingsThe Idóneo ProfileThe client is specifically looking for a hands-on Data Engineer who is comfortable writing PySpark and Python code and can independently implement pipelines from source systems through to the Gold layer.Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.#J-18808-Ljbffr

📌 Databricks Data Engineer — Hybrid Madrid (6m)
🏢 Square One
📍 Madrid