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# Data Engineer

- **Company:** Propertyvalue
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Visualization, Data Warehousing, DevOps, Distributed Computing Environment, Python (Programming Language), Meta-Data Management, Performance Tuning, Cloud Services, SQL Databases, Data Streaming, Unstructured Data, Data Storage Technologies, Apache Spark, Apache Kafka, Data Management, Data Pipelines
- **Published:** August 16, 2026
- **Apply:** https://es.trabajo.org/oferta-4021-82765617a4fac5c4a316ee67cb5f1bc2

## About the Role

Job Title : Data Engineer (Senior) Role Purpose The Senior Data Engineer is responsible for designing, building, and maintaining scalable and reliable data pipelines and platforms that enable analytics, reporting, and data-driven decision-making across the organization. Key Responsibilities - Design, build, and maintain robust ETL/ELT pipelines for structured and unstructured data - Optimize data storage, processing, and access to ensure performance, scalability, and reliability - Develop and maintain data models that support analytics, reporting, and downstream consumption - Collaborate closely with analytics, reporting, and business teams to understand data requirements - Ensure data quality, integrity, security, and compliance with governance and regulatory standards - Monitor, troubleshoot, and continuously improve data pipelines and platform performance - Contribute to data architecture standards, best practices, and technical documentation Required Experience & Skills -
Minimum 7+ years of experience in data engineering or related roles - Strong proficiency in SQL and Python; experience with distributed processing frameworks such as Spark - Hands-on experience with cloud data platforms and modern data architectures - Solid understanding of data modeling, data warehousing, and performance optimization techniques - Experience working in banking or other highly regulated environments - Strong problem-solving skills and ability to work independently in complex technical environments Nice to Have - Experience with real-time or streaming data technologies (e.g., Kafka, Kinesis) - Familiarity with data governance, lineage, and metadata management tools - Experience with CI/CD pipelines, infrastructure as code, or DevOps practices for data platforms - Exposure to data visualization or BI tools and analytics workflows - Experience mentoring junior engineers or leading technical initiatives



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