ppWe are seeking a skilled Data Modeler / Data Engineer / ETL Developer to join our data engineering team to design, build, and maintain data warehouse solutions on the Google Cloud Platform. As a key contributor, you will design scalable data models, develop robust data pipelines, and ensure seamless data integration and quality across platforms. Your work supports business insights, product innovation, and strategic decisions by enabling high‑quality, well‑structured, and easily accessible data. /p h3Main Responsibilities /h3 ul liAnalyze business requirements and translate them into effective data models and technical designs. /li liDesign and maintain conceptual, logical, and physical data models (DWH). /li liBuild and manage scalable, reliable, and secure data pipelines (ETL/ELT) in hybrid and cloud environments. /li liEnsure data consistency, integrity, and quality across data platforms. /li liCollaborate closely with data architects, analysts, and software developers to deliver end‑to‑end solutions. /li liContinuously optimize data flows for performance and cost‑efficiency. /li /ul h3Key Performance Indicators /h3 ul liAccuracy and scalability of data models. /li liPipeline stability and performance metrics (e.g., run time, error rate). /li liReduction in data latency and processing costs. /li liPositive feedback from cross‑functional collaborators. /li liContributions to documentation and knowledge‑sharing within the team. /li /ul h3Technical Requirements /h3 ul liStrong expertise in data modeling and architecture. /li liSolid experience with data modeling techniques (3NF, star/snowflake schemas, data vault) and data architecture best practices.



/li liProficiency in SQL. /li liExperience in metadata management, data lineage, and governance practices. /li /ul h3Data Engineering /h3 ul liProficient in developing ETL/ELT pipelines using modern frameworks (e.g., SQL Procedures, dbt, Dataflow). /li /ul h3Cloud and DevOps /h3 ul liExperience with cloud data platforms, preferably Google Cloud Platform; knowledge of BigQuery, Teradata, Oracle. /li liFamiliarity with CI/CD pipelines using tools such as Jenkins, GitHub Actions, or GitLab CI. /li /ul h3Tools Technologies /h3 ul liHands‑on with data preparation and profiling tools (e.g., Talend, Trifacta, Collibra). /li liExperience working in Agile/Scrum. /li /ul h3Other Competencies /h3 ul liBachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. /li li3+ years of experience in data warehouse implementation or a related field. /li liProfessional certification in cloud platforms (e.g., GCP Data Engineer, AWS Big Data, Azure Data Engineer) is a plus. /li liFluent English speaking and writing. /li liExperience in Agile Scrum methodology. /li /ul h3Benefits /h3 ul liHybrid work model. /li liBonus on top of the gross salary. /li liMeal voucher. /li liFlexible working hours from Monday to Thursday, intensive schedule on Fridays. /li liIntensive summer schedule during July and August. /li liUp to 20 days per year of 100% remote work from other locations. /li liPrivate health and life insurance for employees. /li li25 vacation days, plus December 24th and 31st off. /li liOptional pension plan. /li liAccess to an online learning platform for continuous training. /li /ul /p #J-18808-Ljbffr

📌 Specialist Data Warehouse Developer (Madrid)
🏢 _vois
📍 Madrid