Senior Data Engineer – Azure & Big Data (Remote)

Luxoft; Ciudad de Mendoza; Remote; ARS 123,632,000 - 185,448,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based pay

Exciting projects with Fortune 500

Flextime: remote and office options

Job summary

AgileEngine is seeking a Mid-level Data Engineer to build and maintain dbt pipelines and Snowflake data marts powering customer-facing reporting and analytics. You will work on production pipelines with solid dbt modeling, ingestion tools like Airbyte or Prefect, and strong SQL/Python skills.

Role focuses on scalable data models, semantic layer development, and data quality across the warehouse. English proficiency and cross-functional collaboration are essential, with remote/hybrid options

Qualifications

• Hands-on with production data pipelines and analytics engineering.
• Strong dbt for transformation, testing, documentation, lineage.
• Experience with ingestion tooling and orchestration (Airbyte, Prefect, or equivalents).
• Advanced SQL and Python for data engineering.

Responsibilities

• Build and maintain dbt pipelines, data marts, and warehouse models serving in-app reporting and analytics.
• Translate procurement logic into maintainable pipeline code and validate models.
• Develop data models within the data mart architecture with conformed dimensions.
• Contribute to semantic layer definitions for consistent metrics and dimensions.
• Maintain the boundary between PII and reporting-safe data.

Skills

dbt experience

SQL

Python

Data modeling

Snowflake

Airbyte

Prefect

Git & CI/CD

Tools

Snowflake

Airbyte

Prefect

Fivetran

HVR

Argo Workflows

Job description

AgileEngine is seeking a Mid-level Data Engineer to build and maintain dbt pipelines and Snowflake data marts powering customer-facing reporting and analytics. You will work on production pipelines with solid dbt modeling, ingestion tools like Airbyte or Prefect, and strong SQL/Python skills.

Role focuses on scalable data models, semantic layer development, and data quality across the warehouse. English proficiency and cross-functional collaboration are essential, with remote/hybrid options