Senior Data Engineer: Azure Databricks & Airflow Pipelines

Rm Staffing B.V.; Buenos Aires; Hybrid; ARS 69,543,000 - 131,359,000; Full time

Benefits offered by this job

Hybrid work model

Career development opportunities

Learning opportunities

Work-life balance: flexible hours

Job summary

Endava is seeking a Data Engineer to design and maintain scalable ETL/ELT pipelines and data models. You will work on Airflow orchestration, DBT transformations, and Snowflake data warehouses, while leveraging AWS and CI/CD practices. The role emphasizes production reliability and data quality across environments.

You will mentor peers, participate in architectural discussions, and collaborate with cross-functional teams to deliver data-driven insights.

Qualifications

• 5+ years of professional experience in data engineering or related software engineering.
• Hands-on production-grade data pipelines experience.
• Strong knowledge of Apache Airflow with DAG development and monitoring.
• Experience with Snowflake or equivalent cloud data warehouse.
• Proven DBT experience.
• Solid AWS experience and familiarity with CI/CD and IaC practices.
• Strong Python and SQL programming skills.
• Ability to troubleshoot complex production issues.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and delivery.
• Contribute to architecture and optimize data models, queries, and workflows.
• Build reusable, modular data processing solutions and tooling.
• Develop and maintain Airflow workflows, monitoring, and error handling.
• Implement data quality checks and observability across pipelines.
• Support production deployments and incident resolution with RCA.

Skills

Python

SQL

Apache Airflow

DBT

PySpark

Snowflake

AWS

S3

EMR

Lambda

Jenkins

GitHub Actions

Tools

Snowflake

Airflow

DBT

PySpark

AWS

Terraform

Job description

Endava is seeking a Data Engineer to design and maintain scalable ETL/ELT pipelines and data models. You will work on Airflow orchestration, DBT transformations, and Snowflake data warehouses, while leveraging AWS and CI/CD practices. The role emphasizes production reliability and data quality across environments.

You will mentor peers, participate in architectural discussions, and collaborate with cross-functional teams to deliver data-driven insights.