Senior Data Engineer - Ingestion & Cloud (Hybrid)

BairesDev; Rosario; Hybrid; ARS 131,359,000 - 185,448,000; Full time

Benefits offered by this job

Competitive salary package

Global career opportunities

Flexible working hours

Job summary

Endava is seeking an experienced Data Engineer to join our data team. You will design, build, and maintain scalable ETL/ELT pipelines, develop modular data processing solutions, and contribute to architecture decisions across Cloud platforms and CI/CD practices.

You will work with Apache Airflow, DBT, Snowflake, and AWS to ensure data quality, observability, and production readiness. Hybrid work options are available, with collaboration across engineering and product teams.

Qualifications

• 5+ years of professional experience in data engineering or a related software engineering role.
• Hands-on experience building and supporting production-grade data pipelines.
• Strong knowledge of Apache Airflow including DAG development, scheduling, dependencies, retries, and monitoring.
• Experience with Snowflake or equivalent cloud data warehouse technologies.
• Proven experience with DBT.
• Solid experience with AWS or another major cloud platform.
• Experience with CI/CD and Infrastructure-as-Code practices.
• Strong programming skills in Python and SQL.
• Ability to troubleshoot complex production issues and perform root cause analysis.
• Ability to independently own complex technical initiatives from design through implementation and production.
• Strong communication, problem-solving, and technical documentation skills.

Responsibilities

• Data Engineering & Architecture: 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 for scalability, performance, reliability, and maintainability.
• Design and optimize data models, SQL queries, stored procedures, and data processing workflows.
• Workflow Orchestration & Data Quality: Design and maintain Apache Airflow workflows with scheduling, dependencies, retries, monitoring, and error handling.
• Develop automated data validation and quality checks using DBT and SQL.
• Implement monitoring and observability for critical data pipelines.
• Troubleshoot and resolve complex data processing and quality issues.
• Cloud & Platform Engineering: Develop data solutions using AWS and Snowflake; manage cloud services for 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.
• CI/CD & Production Support: Develop and maintain CI/CD pipelines for data engineering apps and infrastructure; apply Infrastructure-as-Code using Terraform or equivalent; support production deployments and incident resolution.
• Maintain technical documentation and runbooks.
• Technical Leadership: Take ownership of complex engineering initiatives, conduct code reviews, mentor engineers, and collaborate with architecture, DevOps, product, and other teams.

Skills

Python

SQL

Communication skills

Problem solving

Tools

Apache Airflow

DBT

Snowflake

AWS

S3

EMR

Lambda

SNS/SQS

Jenkins

GitHub

GitHub Actions

Job description

Endava is seeking an experienced Data Engineer to join our data team. You will design, build, and maintain scalable ETL/ELT pipelines, develop modular data processing solutions, and contribute to architecture decisions across Cloud platforms and CI/CD practices.

You will work with Apache Airflow, DBT, Snowflake, and AWS to ensure data quality, observability, and production readiness. Hybrid work options are available, with collaboration across engineering and product teams.