Engenheiro de dados

Data Engineer

Company Description

DHAUZ North America is a rapidly scaling AI start-up offering consulting and product development capabilities to high-growth organizations. Our offerings range from providing strategic advice to full AI product development. We are expanding our Engineering team and are looking for a talented Data Engineer to join our team.

Role Description

As a Data Engineer at DHAUZ North America , you will leverage your expertise in data engineering to design, implement, and manage large-scale data systems. You will collaborate closely with consultants, data scientists, software engineers, and clients to solve complex business problems and deliver innovative AI-driven solutions to our clients. Your role will be pivotal in contributing to the data strategy and infrastructure that underpin our AI products and the success of data focused projects for our clients.

Key Responsibilities

• Contribute to the design, implementation, and management of scalable and robust data architectures that support AI and machine learning applications.
• Collaborate with cross-functional teams to understand client needs and translate them into effective data solutions.
• Ensure data quality, integrity, and security across all data systems and processes.
• Develop and maintain ETL processes to ingest, process, and store large volumes of data from various sources.
• Optimize and tune data systems for performance, reliability, and scalability.
• Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) to deploy and manage data solutions
• Implement and manage data governance practices and policies.
• Drive innovation by staying abreast of industry trends and emerging technologies in data engineering and AI.
• Contribute to Dhauz’s thought leadership initiatives, including white papers, webinars, and industry conferences.

Qualifications

Type of employment

✅ 100% remote

Benefits

🍲 Flash flexible benefits card (food / meal)

🩺 Health insurance

🦷 Dental plan

🧑‍🍼 Extended maternity and paternity leave

💪🏼 Wellhub

💰 Profit sharing (PLR)

📝 English training subsidy and support for online courses, studies, and events

⏰ Flexible working hours

🎉 Birthday day off

💰 Referral bonus for new hires

We urge you to apply even if you don't meet all the qualifications. Not every strong candidate will tick every box. Research indicates that individuals from underrepresented groups often face imposter syndrome and doubt their candidacy. Please don't rule yourself out prematurely—apply if you're interested. Given that our AI systems have significant social and ethical impact, we value diverse perspectives and strive for a diverse team.