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# Data Engineer

- **Company:** Número De
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Frameworks, BigQuery, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Systems, Performance Tuning, Software Engineering, SQL Databases, Data Processing, Google Cloud, Sql Optimization, Agentic-AI, Data Lakes, Pyspark, Software Version Control, Data Pipelines, Databricks
- **Published:** November 13, 2026
- **Apply:** https://www.adzuna.es/details/5963801909

## About the Role

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!, The mandatory requirements are 5+ years of hands-on experience with Databricks and PySpark, advanced SQL, GCP, Delta Lake, modern lakehouse architectures, and an upper-intermediate English level., 5+ years of strong hands-on experience with Databricks and PySpark.

 - Advanced SQL and data-processing skills.
 - Hands-on experience with GCP, particularly BigQuery.
 - Experience with Delta Lake and modern data lake/lakehouse architectures.
 - Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.
 - Experience building reliable, scalable, production-grade data solutions.
 - Strong analytical and troubleshooting skills.
 - Understanding of software engineering practices, including testing, version control, deployment, monitoring, and production support.
 - Upper-intermediate English level., Experience developing or integrating AI/agentic workflows, AI agents, or workflow automation solutions.
 - Experience applying AI to automate data engineering, validation, troubleshooting, or operational processes.
 - Familiarity with orchestration and automation frameworks.
 - Experience developing reusable data engineering frameworks and platform components.
 - Exposure to productionizing AI-enabled solutions with appropriate validation, monitoring, and human oversight.

## Description

We are looking for a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation., Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.

 - Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting, and workflow execution.
 - Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments.
 - Develop data pipelines and reusable frameworks and components to support new business requirements and datasets across multiple use cases.
 - Implement data quality checks, monitoring, validation, exception handling, and production controls.
 - Optimize PySpark and SQL workloads for performance, reliability, and scalability.
 - Support testing, deployment, productionization, troubleshooting, and ongoing enhancement of data and agentic solutions.
 - Collaborate with business, data engineering, and platform teams to identify further automation opportunities.