Senior Data Engineer: Databricks, GCP & AI Pipelines

Agileengine

Victoria

On-site

ARS 136,863,000 - 228,106,000

Full time

5 days ago

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Benefits offered by this job

Professional growth

Competitive USD-based compensation

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Job summary

Agileengine is seeking a Data Engineer with strong Databricks, PySpark and GCP experience to design scalable ETL/ELT pipelines and productionize agentic workflows for data automation. You will design and optimize data pipelines, integrate with BigQuery/Delta Lake environments, build reusable components, and ensure data quality and production readiness across projects.

Ideal candidates have 5+ years of hands-on experience, advanced SQL skills, and a passion for scalable, reliable data solutions

Qualifications

5+ years hands-on Databricks and PySpark experience.
Advanced SQL and data-processing skills required.
GCP experience, especially BigQuery, is essential.
Delta Lake and lakehouse architectures familiarity.
ETL/ELT design, performance tuning, and data quality focus.
Proven ability to build reliable, scalable data solutions.
Strong analytical and troubleshooting capabilities.
Knowledge of software engineering practices (tests, version control, deployment, monitoring).

Responsibilities

Design, develop, and optimize scalable ETL/ELT pipelines using Databricks, PySpark, and SQL.
Build agentic workflows to automate data engineering and operations.
Integrate Databricks, GCP, BigQuery, and Delta Lake environments.
Develop pipelines to support new business requirements and datasets.
Create reusable data engineering frameworks across use cases.
Implement data quality checks, monitoring, and production controls.
Optimize PySpark/SQL workloads for performance and reliability.
Support testing, deployment, and productionizing of data solutions.
Troubleshoot complex data and production issues with sustainable fixes.
Collaborate with multiple teams to identify further automation opportunities.