Ingeniero/a de Datos – Databricks ID89384

AgileEngine, LLC.; Málaga; Presencial; EUR 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine, LLC in Málaga, Spain is seeking a Data Engineer to design and productionize scalable ETL/ELT pipelines using Databricks and PySpark on GCP. You will build agentic workflows, ensure data quality, and optimize workloads while collaborating with cross-functional teams to meet evolving business needs.

The role emphasizes production-grade data solutions, robust testing, and ongoing enhancement of data engineering automation across Databricks and the GCP ecosystem.

Formación

• 5+ years of hands-on Databricks and PySpark experience.
• 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.

Responsabilidades

• 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.
• Integrate agentic capabilities with Databricks, GCP, BigQuery, and Delta Lake environments.
• Develop data pipelines and processing solutions to support new business requirements.
• Build reusable frameworks and components across data engineering use cases.
• Implement data quality checks, monitoring, validation, and production controls.
• Optimize PySpark and SQL workloads for performance and reliability.
• Support testing, deployment, and productionization of data solutions.
• Troubleshoot complex data and production issues; provide sustainable solutions.
• Collaborate with business and platform teams to identify automation opportunities.

Conocimientos

Databricks

PySpark

Advanced SQL

Data pipelines

Data quality

Troubleshooting

Educación

Bachelor's degree in CS/IS

Herramientas

BigQuery

Delta Lake

GCP

Descripción del empleo

Full time | AgileEngine | Spain

Posted On 09/28/2026

Job Information

City Málaga

State/Province Málaga

29001

IT Services

Job 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.

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 Process

Each step helps us understand your skills and overall fit.

If it’s a match, you’ll receive an offer.