Senior Data Engineer: Remote Data Ingestion & Analytics

Agileengine, Llc.; Buenos Aires; Remote; ARS 92,724,000 - 185,448,000; Full time

Job summary

Endava is seeking a Data Engineer to join our data team. You will design, build, and operate scalable ETL/ELT pipelines, develop modular data processing solutions, and contribute to architectural decisions across cloud data platforms.

You will work with Airflow, DBT, SQL, and AWS, ensure data quality, observability, and reliable production deployments, and mentor junior engineers while collaborating with analytics, ML, and product teams.

Qualifications

• Experience designing and maintaining scalable ETL/ELT pipelines.
• Strong SQL skills and data modeling experience.
• Experience with Airflow, DBT, and cloud data platforms.
• Familiarity with CI/CD and IaC practices (Terraform).
• Experience with AWS and Snowflake.

Responsibilities

• Design, develop, and maintain data ingestion, transformation, validation, and delivery pipelines.
• Develop modular, configuration-driven data processing solutions.
• Design and optimize data models, SQL queries, and data workflows.
• Maintain Airflow workflows, monitoring, and observability for pipelines.
• Support production deployments, incident resolution, and runbooks.

Skills

ETL/ELT pipelines

SQL

Airflow

DBT

AWS

Snowflake

Terraform

CI/CD

Data modeling

Data quality

Observability

Tools

Terraform

Snowflake

Job description

Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.

As a Data Engineer at Endava you will:

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 based on 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, 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.

CI/CD & Production Support

• 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.

Technical Leadership

• 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.