Data Engineer

Data Engineer

Luza is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside.

We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others.

Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity.

Its time to burst the bubble, and we will do it together!

What You'll do:

• Design, build, and operate enterprise-grade ETL and ELT pipelines for AI, analytics, reporting, and agentic workflow use cases;
• Create clean, documented, reusable data products from operational, customer, logistics, sales, and other data sources;
• Implement data quality checks, monitoring, lineage, metadata, and reliability patterns to make datasets trustworthy and production-ready;
• Support integrations between Azure-based AI services, Snowflake, APIs, file-based sources, and selected AWS data services where needed;
• Work with business and AI teams to translate use case requirements into data models, pipelines, and serving layers;
• Collaborate with local IT and data owners to onboard new data sources while respecting data protection, access control, and governance requirements.

What You Are:

• Strong experience with Python, SQL, data modelling, ETL/ELT development, and production data pipelines;
• Experience with cloud-native data engineering, ideally on Azure, with practical AWS exposure as a plus;
• Experience with Snowflake or comparable cloud data platforms;
• Understanding of data quality, orchestration, observability, access management, and governance in enterprise environments;
• Ability to collaborate with data scientists, AI engineers, business stakeholders, and local IT teams in international settings;
• Comfortable using GenAI software engineering tools such as GitHub Copilot, Cursor, or OpenCode to accelerate development.

What youll get:

• Wage according to candidate's professional experience;
• Remote Work whenever possible;
• Allocation of health insurance from the beginning of the employment;
• Delivery of work equipment adjusted to the performance of functions;
• And others.

Work together with expert teams on projects of large magnitude and intensity, long term together with our clients, all leaders in their industries.

Are you ready to step into a diverse and inclusive world with us?

Together we will promote uniqueness!