Descripción de la oferta
Full time | AgileEngine | SpainPosted On 09/28/2026Job InformationCity MálagaState/Province Málaga29001IT ServicesJob 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.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.Meet Our Recruitment ProcessEach step helps us understand your skills and overall fit.If it’s a match, you’ll receive an offer.#J-18808-Ljbffr
