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Nava Tech for Business

Senior Data Engineer

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Hybrid

São Paulo, SP, Brazil

Salary Range

Not informed

Experience Level

Senior

Requirements

5+ years of experience in the career
Git
Databricks
Python
Azure

Desired Skills

IA aplicada
Machine Learning

Tasks and Responsibilities

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About the role:

Nava is looking for a Senior Data Engineer to develop and maintain data solutions using Python and Databricks, working in an Azure environment, with a focus on scalability, performance, and availability. The position also involves evolving architectures, using AI to optimize processes, and collaborating with multidisciplinary teams in an agile environment.


Required qualifications:

  • Strong experience in Data Engineering;
  • Advanced knowledge of Python;
  • Experience with Databricks and data processing;
  • Experience with Microsoft Azure;
  • Knowledge of Git and versioning practices;
  • Experience with data pipeline architecture and development;
  • Interest and experience in using AI applied to data engineering;
  • Good communication skills and ability to work in multidisciplinary teams and agile environments.

Preferred qualifications:

  • Experience with AI tools applied to data engineering;
  • Experience in data engineering and data processing projects using Databricks;
  • Experience defining architectures and evolving solutions;
  • Experience in agile projects and working with multidisciplinary teams.

Behavioral competencies:

  • Analytical and proactive profile
  • Good communication and interpersonal skills
  • Problem-solving ability
  • Organization and sense of priority
  • Teamwork
  • Continuous learning

Work model:

Hybrid 3 days per week

Santo Amaro or Interlagos – São Paulo/SP

CLT + Benefits Package


Nava Benefits:

At Nava, we offer a benefits package designed to support different moments of life and professional journey:

  • Medical Assistance
  • Dental Assistance
  • Meal and/or Food Vouchers
  • Transportation Voucher or Mobility Allowance
  • Life Insurance
  • Wellhub
  • Professional Referral Program
  • Training and development platform
  • Childcare assistance, according to current policy
  • Personal assistance
  • Pharmacy Card
  • Partnerships with discounts in education, services, culture, and leisure

About Nava:

We work at the core of leading companies in their segments, where technology, strategy, and operations meet. We design architectures, structure governance, and transform complexity into clarity, creating solutions that continuously drive growth, efficiency, and competitiveness.

With around 2,000 specialists, Nava connects creative thinking, advanced engineering, and GenAI-powered technology to accelerate business results. We operate in Data, Cybersecurity, Cloud, Observability, Infrastructure, Application Modernization, and Creative Innovation, serving as the link that moves technology and business in the same direction.

Our ecosystem expands this capability through GH Brandtech, which combines brand strategy, experience, design, and digital products; Ventura, a reference in cybersecurity, incident response, and crisis management; and ®CS Global IT, specialized in Cloud, Multicloud, and Data Center. Together, they strengthen our ability to deliver scalable solutions that drive innovation, sustainable growth, and competitive advantage.


Diversity and Inclusion:

All of our opportunities are also open to professionals with disabilities (PwD). We value diversity and inclusion and believe that diverse teams drive innovation and transformation.


Data Privacy:

By applying to this position, you declare that you are aware that your personal data will be processed by Nava exclusively for recruitment and selection purposes, profile fit assessment, communication about the selection process, and potential consideration for future opportunities, in accordance with the General Data Protection Law (LGPD).

Nava adopts security measures to protect your information and guarantees candidates the exercise of the rights provided in applicable legislation.

For more information or requests related to your personal data, contact the Data Protection Officer by e-mail: [email protected].

How to apply

Applications are made on this page, directly with the company. You need a CV in PDF and an email address to confirm the application.

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How to apply

Applications are made on this page, directly with the company. You need a CV in PDF and an email address to confirm the application.

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