Senior Data Engineer — Scalable Pipelines & AI Solutions

Coderoad; Rosario; Híbrido; ARS 123.632.000 - 169.994.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Career development

Learning opportunities

Hybrid work

Wellbeing programme

Descripción de la vacante

Endava is seeking a Data Engineering & Architecture professional to design, build, and optimize scalable data pipelines and architectures. The role emphasizes Airflow-based workflows, DBT-based data quality checks, and cloud data platforms (AWS, Snowflake).

You will contribute to architecture, mentor engineers, and ensure production readiness through CI/CD and IaC practices. The successful candidate will work in a hybrid environment with opportunities for global collaboration, continuous

Formación

• Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, validation, and delivery.
• Develop reusable, modular data processing solutions.
• Contribute to technical architecture with a focus on scalability, performance, and reliability.
• Mentor junior and mid-level engineers and collaborate with cross-functional teams.

Responsabilidades

• Design and optimize data models, SQL queries, stored procedures, and data processing workflows.
• Design and maintain Apache Airflow workflows with scheduling, retries, monitoring, and error handling.
• Develop data solutions using AWS and Snowflake, and implement monitoring for pipelines.
• Support production deployments, incident resolution, and root cause analysis.

Conocimientos

ETL/ELT pipelines

Airflow

DBT

SQL

CI/CD pipelines

Infrastructure as Code

Terraform

Cloud architecture

Data modeling

Mentoring

Herramientas

Apache Airflow

Snowflake

AWS

DBT

Terraform

Descripción del empleo

Endava is seeking a Data Engineering & Architecture professional to design, build, and optimize scalable data pipelines and architectures. The role emphasizes Airflow-based workflows, DBT-based data quality checks, and cloud data platforms (AWS, Snowflake).

You will contribute to architecture, mentor engineers, and ensure production readiness through CI/CD and IaC practices. The successful candidate will work in a hybrid environment with opportunities for global collaboration, continuous