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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer Id89384 - **Company:** Agileengine - **Location:** Sevilla, 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, Data Processing, Google Cloud, Sql Optimization, Agentic-AI, Data Lakes, Pyspark, Software Version Control, Data Pipelines, Databricks - **Published:** October 9, 2026 - **Apply:** https://www.buscojobs.com.es/data-engineer-id-89384-en-sevilla-ID-375021626 ## About the Role 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., 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. Requirements Strong hands-on experience with Databricks and PySpark. Advanced SQL and data-processing skills. Hands-on experience with Google Cloud Platform (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. ## Description Job Description AgileEngine is an Inc. **** 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.Requirements Strong hands-on experience with Databricks and PySpark.Advanced SQL and data-processing skills.Hands-on experience with Google Cloud Platform (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.