Remoto: Teletrabajo

Job DescriptionAgileEngine 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 USIf 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 ROLEWe 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.RequirementsStrong 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.

📌 Data Engineer (Málaga)
🏢 AgileEngine
📍 Málaga