Remote Data Engineer: AI Pipelines (Databricks + GCP)

AgileEngine, LLC.; Coimbra; Hybrid; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

You will collaborate with data and platform teams to optimize PySpark and SQL workloads, integrate Delta Lake, and ensure data quality across datasets. This role offers flexible flextime with remote and office options.

Qualifications

• 5+ years of hands-on Databricks and PySpark experience.
• Advanced SQL and data-processing skills.
• Hands-on GCP experience, especially BigQuery.
• Experience with Delta Lake and modern 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.

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 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.

Skills

Databricks

PySpark

Advanced SQL

GCP

BigQuery

Delta Lake

ETL/ELT

Data pipelines

Data quality

English (Upper-intermediate)

Tools

Databricks

PySpark

BigQuery

Delta Lake

Git

CI/CD

Job description

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

You will collaborate with data and platform teams to optimize PySpark and SQL workloads, integrate Delta Lake, and ensure data quality across datasets. This role offers flexible flextime with remote and office options.