Senior Data Engineer: Build Scalable Data Pipelines

Endava; Argentina; Hybrid; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Competitive salary

Career development

Learning opportunities

Hybrid work

Wellbeing programme

Diversity & inclusion

Job summary

Endava is seeking a Data Engineer to join our data team in Argentina, focusing on building scalable data pipelines, data quality checks, and cloud-native data platforms. You will work with Airflow, DBT, SQL, Snowflake, and AWS to transform raw data into actionable insights.

You will collaborate with engineers and analysts, drive production-ready solutions, and contribute to architectural decisions while mentoring junior teammates in a dynamic, hybrid work environment.

Qualifications

• 5+ years in data engineering or similar role.
• Hands-on production data pipelines experience.
• Strong Airflow DAG development and monitoring.
• Experience with Snowflake or equivalent cloud data warehouse.
• Proficient in DBT.
• Experience with AWS and cloud platforms.
• CI/CD and Infrastructure-as-Code experience.
• Strong Python and SQL skills.
• Ability to own complex technical initiatives end-to-end.
• Excellent communication and documentation skills.

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 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.
• Mentor junior and mid-level engineers and provide technical guidance.
• Collaborate with architecture, DevOps, product, and other technology teams.

Skills

Python

SQL

Apache Airflow

DBT

Snowflake

AWS

CI/CD

PySpark

Job description

Endava is seeking a Data Engineer to join our data team in Argentina, focusing on building scalable data pipelines, data quality checks, and cloud-native data platforms. You will work with Airflow, DBT, SQL, Snowflake, and AWS to transform raw data into actionable insights.

You will collaborate with engineers and analysts, drive production-ready solutions, and contribute to architectural decisions while mentoring junior teammates in a dynamic, hybrid work environment.