Senior Data Engineer

Join Our Team Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.

As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.

About the Role We are building a pipeline of strong Data Engineers to support upcoming high-impact data initiatives across cloud platforms and AI-driven environments.

This role is ideal for someone who thrives in designing and optimizing data pipelines, ensuring reliability at scale, and contributing to modern data architectures that support analytics, automation, and AI-powered use cases.

You will play a key role in building and maintaining ETL processes, improving operational efficiency, and enabling high-quality, structured data for advanced analytics and machine learning initiatives.

This position requires strong backend engineering foundations, cloud expertise, and a mindset focused on scalability, data quality, and performance.

Key Responsibilities

Design, implement, and optimize ETL processes to improve data flow and operational efficiency

Monitor and maintain ETL workflows to ensure reliability, consistency, and performance

Develop scalable data pipelines using Python with strong OOP principles

Work with relational databases (Microsoft SQL Server, Oracle) to design and optimize queries and schemas

Manage and optimize Azure storage and cloud data solutions

Support data preparation and architecture for AI and advanced analytics initiatives

Ensure data integrity, observability, and performance across systems

Collaborate with cross-functional teams to translate business requirements into scalable data solutions

Must Have

4+ years of professional experience as a Data Engineer

Strong expertise in Python (mandatory) with solid Object-Oriented Programming (OOP) application

Proven experience implementing and optimizing ETL processes

Experience in monitoring and maintaining ETL workflows

Solid knowledge of relational databases (Microsoft SQL Server, Oracle)

Experience working with Azure Storage solutions

Strong analytical and problem-solving skills

Nice to Have

Experience preparing datasets for AI or machine learning workflows

Familiarity with cloud-based data architectures in Azure environments

Exposure to data governance, data quality frameworks, or monitoring tools

Experience working in multidisciplinary or distributed teams

Interest in AI-powered data ecosystems

Benefits & Perks

Home office

Competitive compensation based on experience

Career plans to allow for extensive growth in the company

International Projects

Oowlish English Program (Technical and Conversational)

Oowlish Fitness with Total Pass

Games and Competitions