> Markdown version of [/jobs/ext/3705124-data-engineer-id89384](https://www.wearedevelopers.com/jobs/ext/3705124-data-engineer-id89384). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer ID89384 - **Company:** AgileEngine - **Location:** Spain (Remote available) - **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, Systems Integration, Data Processing, Google Cloud, Sql Optimization, Agentic-AI, Data Lakes, Pyspark, Software Version Control, Data Pipelines, Databricks - **Published:** October 12, 2026 - **Apply:** https://www.jobleads.com/es/job/data-engineer-id89384--valencia--e164b4403c12ce7a3d303f35bcac61e24 ## About the Role * 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 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE 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. WHAT YOU WILL DO * 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 processing solutions to support new business requirements and datasets. * Build reusable frameworks and components that can be leveraged across multiple data engineering and business 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, and ongoing enhancement of data and agentic solutions. * Troubleshoot complex data and production issues and implement sustainable solutions. * Collaborate with business, data engineering, and platform teams to identify further automation opportunities. MUST HAVES * 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. NICE TO HAVES * 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. PERKS AND BENEFITS * Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. * Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. * A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. * Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.