Data Engineer ID89383

AgileEngine, LLC.; Coimbra; Hybrid; EUR 40,000 - 64,000; Full time

Benefits offered by this job

Professional growth

Flexible schedule

Competitive compensation

Remote/Office options

Job summary

AgileEngine, LLC. in Coimbra, Portugal is seeking a Data Engineer to design and build scalable ETL/ELT pipelines using Databricks, PySpark, and SQL.

You will architect agentic workflows to automate data engineering and operational tasks, integrating with Databricks, GCP, BigQuery, and Delta Lake environments. You will develop data pipelines to meet new business needs, create reusable frameworks, and implement data quality, monitoring, and production controls, ensuring high performance,

Qualifications

• 5+ years of hands-on Databricks and PySpark experience.
• Advanced SQL and data-processing skills.
• Hands-on with GCP, BigQuery.
• Delta Lake and modern data lake/lakehouse architectures.
• Strong ETL/ELT, data pipeline design, performance optimization, data quality.
• Production-grade data solutions development.
• Strong analytical and troubleshooting skills.
• Understanding of testing, version control, deployment, monitoring, and production support.

Responsibilities

• 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, and production controls.
• Optimize PySpark and SQL workloads for performance and scalability.
• Support testing, deployment, productionization, and ongoing enhancement of data solutions.
• Troubleshoot complex data and production issues and implement sustainable solutions.
• Collaborate with business, data engineering, and platform teams to identify automation opportunities.

Skills

Databricks

PySpark

Advanced SQL

GCP

BigQuery

Delta Lake

ETL/ELT

Data pipelines

Testing

Monitoring

Version control

Job description

Coimbra, Portugal | Posted on 10/26/2026

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.

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.

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.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.

Meet Our Recruitment Process

Each step helps us understand your skills and overall fit. If it’s a match, you’ll receive an offer.