Data Engineering Jobs in Peru
There are 196 open Data Engineering jobs in Peru on freehire right now. 36 of them were posted recently. The skills employers ask for most often are sql, python and etl.
Most requested skills
- sql 65%
- python 60%
- etl 45%
- cloud 45%
- azure 42%
- databricks 35%
- aws 31%
- analytics 31%
How the work is done
- Remote 22 · 11%
- Hybrid 7 · 4%
Visa sponsorship offered in 10% of the 10 postings that state a position on it.
Seniority
- Senior 57
- Lead 12
- Junior 3
- Middle 3
- Principal 3
- Staff 2
Who is hiring
- 1000+ employees 19
- 501-1000 employees 18
- 51-200 employees 3
- 11-50 employees 1
- 201-500 employees 1
Data Engineer Intern
A hands-on internship where you’ll build data pipelines, optimize databases, and support data-driven decisions under mentorship, gaining real-world experience in data engineering fundamentals.
Data Engineer
Data Engineer to maintain and optimize Data Warehouse as a Service (DWaaS) with complex architectures, develop reports, and ensure data quality using SQL, Python, and AWS services.
Data engineer
Builds and maintains data pipelines, integrates internal/external sources, and ensures data quality and availability using SQL, ETL/ELT tools, and batch/event processing.
Senior Data Engineer
Design scalable data architectures and ETL pipelines for a leading insurance company, using multi-cloud tools (AWS/Azure/GCP), Databricks, Python, PySpark, and SQL to enable analytics and reporting.
Data Engineer - Ms Fabric
Build and optimize data pipelines using Databricks, PySpark, and SQL to create a data lakehouse architecture for Trade Marketing analytics.
Data Engineer Senior - Especialista AWS
Senior Data Engineer builds and optimizes AWS-based data pipelines for a financial-sector client, using DBT, Glue, EMR, and Redshift to transform and load large datasets while enforcing data quality and regulatory standards.
0524SA-301LTM | Data Engineer
Build and maintain cloud data pipelines on Azure using Databricks, Data Factory, and Data Lake to transform raw data into analytics-ready models for Latin American clients.
Lead / Principal Data Engineer - DBT & Databricks
Lead a team building production-grade DBT models on Azure Databricks using Delta Lake and Unity Catalog, while integrating AI-assisted tools like Claude Code to accelerate development and enforce data quality.
Mid Data Engineer
Implement and maintain data governance frameworks, policies, and quality rules for a Peruvian bank using Databricks, Oracle, and tools like Collibra and Monte Carlo.
Senior Data Engineer - Azure Databricks
Build and maintain scalable data pipelines using Azure Databricks, DBT, Snowflake, and Python to migrate and process enterprise datasets.
Data Engineer Pleno
Builds and optimizes data pipelines using PySpark, Azure Databricks, and SQL to process and store data in cloud environments like ADLS Gen2 and Oracle.
Data Governance Analyst
Implement and maintain data-governance frameworks, policies, and quality rules for a Peruvian bank using Databricks, Oracle, and tools like Collibra or Informatica.
Data Platform Engineering Manager
Lead a team of data platform engineers to build and scale real-time streaming systems, AI-driven automation, and cloud-native data infrastructure for a fintech company.
Data Engineer Mid
Build and maintain scalable data pipelines using Azure Data Factory, Databricks, and PySpark to support analytics and cloud migrations.
Data Engineer - Remote, Flexible Hours, Growth
Builds and maintains data pipelines and models using AWS, SQL, and integration tools to support reporting and applications for clients.
Remote Data Engineer: Azure Synapse ETL Mastery
Builds and maintains ETL pipelines in Azure Synapse using Python and PySpark to move and transform data for clients.
Remote Azure Data Engineer: ETL & Synapse Expert
Designs and maintains ETL pipelines using Python and Azure Synapse Analytics to integrate data for analytics and insights.
GenIA Data Engineer
Build and maintain data pipelines that feed AI solutions, ensuring reliable, scalable data flows for analytics and decision-making in a banking environment.