Senior Data Engineer (Remote) – Build Scalable Pipelines

BairesDev; Buenos Aires; Hybrid; ARS 139,086,000 - 185,448,000; Full time

Benefits offered by this job

Hybrid work model

Global career opportunities

Wellbeing program

Job summary

Endava is seeking a Data Engineer to design and maintain scalable data pipelines, build robust ETL/ELT processes, and ensure high data quality across development, QA, staging, and production environments.

You will work with Airflow, DBT, PySpark, Snowflake, and AWS, delivering observable, cost-efficient data workloads and contributing to architecture and production support. Hybrid work model offered.

Qualifications

• 5+ years of professional experience in data engineering or a related software engineering role.
• Strong hands-on experience building and supporting production-grade data pipelines.
• Strong knowledge of Apache Airflow, including DAG development, scheduling, dependencies, retries, and monitoring.
• Strong experience with Snowflake or equivalent cloud data warehouse technologies.
• Proven experience with DBT.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, validation, and delivery.
• Develop reusable, modular, and configuration-driven data processing solutions.
• Contribute to technical architecture and evaluate solutions based on scalability, performance, reliability, and maintainability.
• Design and optimize data models, SQL queries, stored procedures, and data processing workflows.
• Design and maintain Apache Airflow workflows, including scheduling, dependencies, retries, monitoring, and error handling.
• Develop automated data validation and quality checks using DBT and SQL.
• Implement monitoring, alerting, and observability for critical data pipelines.
• Troubleshoot and resolve complex data processing and quality issues.
• Develop data solutions using AWS and cloud-based data warehouse technologies such as Snowflake.
• Work with cloud services for data storage, processing, compute, messaging, and serverless workloads.
• Support data platforms across development, QA, staging, and production environments.
• Optimize data workloads for performance, scalability, reliability, and cost.
• Develop and maintain CI/CD pipelines for data engineering applications and infrastructure.
• Apply Infrastructure-as-Code practices using Terraform or equivalent technologies.
• Support production deployments, incident resolution, root cause analysis, and continuous improvement.
• Maintain technical documentation, operational runbooks, and troubleshooting guides.
• Take ownership of complex engineering initiatives from design through production.
• Conduct code reviews and promote engineering best practices.
• Mentejr junior and mid-level engineers and provide technical guidance.

Skills

Python

SQL

Data modeling

Technical leadership

Tools

Apache Airflow

DBT

Snowflake

AWS

PySpark

Jenkins

GitHub Actions

Job description

Endava is seeking a Data Engineer to design and maintain scalable data pipelines, build robust ETL/ELT processes, and ensure high data quality across development, QA, staging, and production environments.

You will work with Airflow, DBT, PySpark, Snowflake, and AWS, delivering observable, cost-efficient data workloads and contributing to architecture and production support. Hybrid work model offered.