Senior Data Engineer

Contentu; Argentina; Remote; ARS 92,666,000 - 169,887,000; Full time

Job summary

Contentu is seeking a Senior Data Engineer focused on the Databricks platform to drive staff-augmentation projects. The role blends data engineering with DevOps, building Lakeflow workloads with PySpark and implementing bronze/silver/gold lakehouse patterns.

Responsibilities include ingesting data from SAP Datasphere, SQL Server, Oracle and APIs, and CI/CD automation via Azure DevOps. English plus Spanish or Portuguese are required for collaboration across teams.

Qualifications

• 2+ years in data engineering/ETL.
• Strong SQL and Spark/Databricks hands-on skills.
• DevOps fundamentals and modern CI/CD practices.
• English plus Spanish or Portuguese.

Responsibilities

• Build and optimize Lakeflow jobs with PySpark.
• Implement lakehouse patterns (bronze/silver/gold).
• Centralized ingestion from SAP Datasphere, SQL Server, Oracle and APIs.
• Operationalize Asset Bundles through CI/CD pipelines in Azure DevOps.

Skills

SQL

Spark/Databricks

ETL

DevOps fundamentals

English

Spanish

Portuguese

Tools

Azure DevOps

Databricks

Job description

Senior data engineer focused on the Databricks platform for a staff-augmentation engagement, blending data engineering with DevOps. The role involves building and optimizing Lakeflow jobs with PySpark, implementing lakehouse patterns (bronze/silver/gold), centralized ingestion from SAP Datasphere, SQL Server, Oracle and APIs, and operationalizing Asset Bundles through CI/CD pipelines in Azure DevOps. Requirements include 2+ years in data engineering/ETL, strong SQL and Spark/Databricks hands-on skills, DevOps fundamentals, and English plus Spanish or Portuguese.

Location per source: Argentina, Brazil, Colombia, Costa Rica, Mexico, Peru, Uruguay