Senior Data Engineer — Hybrid Cloud Pipelines Lead

Endava; Tandil; Hybrid; ARS 139,086,000 - 216,357,000; Full time

Benefits offered by this job

Competitive salary package

Career coaching and development

Hybrid work and flexible hours

Wellbeing and health programs

Global tech communities and inclusion

Job summary

Endava is seeking a Data Engineer to design, build, and maintain scalable data pipelines and architectures. You will work across data engineering, analytics, and platform teams to deliver robust data infrastructures and actionable insights.

Responsibilities include creating ETL/ELT workflows, implementing data quality checks with DBT/SQL, and optimizing data models for performance. Hybrid work model and global collaboration opportunities are available.

Qualifications

• 5+ years of professional experience in data engineering or a related software engineering role.

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 appropriate 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.
• 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

PySpark

AWS

Tools

Apache Airflow

DBT

Snowflake

AWS

S3

EMR

Lambda

SNS/SQS

Jenkins

GitHub

GitHub Actions

PySpark

Job description

Endava is seeking a Data Engineer to design, build, and maintain scalable data pipelines and architectures. You will work across data engineering, analytics, and platform teams to deliver robust data infrastructures and actionable insights.

Responsibilities include creating ETL/ELT workflows, implementing data quality checks with DBT/SQL, and optimizing data models for performance. Hybrid work model and global collaboration opportunities are available.