Job Description

Experian is a global data and technology company that empowers opportunities for people and businesses around the world. We operate across a wide range of markets, including financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people and advanced technologies to unlock the power of data. We have an amazing team of 25,200 employees across 32 countries.

What makes us unique is how we value you. Experian’s people-first, inclusive, and purpose-driven culture has been recognized by several awards — including World’s Best Workplaces™ 2025 (Fortune Top 25 globally) and Great Place to Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers site to learn more about why.

Experian also takes pride in being an equal opportunity and affirmative action employer. If you have a disability or require any accommodation, please let us know as soon as possible.

We are looking for an Engineering Manager to lead the Brazil-based DataHub squad, driving delivery of global Mappers and DataHub integrations. In this role, you will combine people leadership, delivery ownership, and hands-on technical guidance, collaborating closely with global teams (including KL and North America) to expand DataHub capabilities. You will play a key role in enabling Brazil as a global hub for DataHub self-service and integrations, while ensuring high engineering standards, predictable delivery, and strong stakeholder alignment.

🛠️ Your key responsibilities

• Lead and develop a team of engineers through coaching, performance management, and career growth, ensuring high engagement and ownership.
• Own delivery planning and execution in partnership with Product and global stakeholders, managing risks, dependencies, and commitments.
• Provide hands-on technical leadership in architecture, critical paths, and engineering reviews, ensuring high-quality solutions.
• Drive full-stack delivery (Java/Spring + Angular or React), ensuring scalable, reliable, and maintainable systems.
• Collaborate closely with global teams (KL DataHub, North America, and regional partners) to expand integrations and platform capabilities.
• Ensure strong engineering practices across testing (unit, integration, automation) and CI/CD pipelines with safe release processes.
• Lead incident management, root cause analysis, and continuous improvement of system reliability and operations.
• Promote inner-source contributions, improving reuse and alignment across global DataHub initiatives.
• Maintain high standards in security, compliance, and code quality using tools such as SonarQube and security scanning solutions.
• Drive stakeholder communication and alignment across regions, ensuring transparency on progress, risks, and trade-offs.
• Support hiring processes and talent development, ensuring high hiring standards and team scalability.

Qualifications

🎯 What we expect from you

• Strong experience in software engineering with a focus on backend and distributed systems.
• Proven experience leading engineering teams, including hiring, performance management, and delivery ownership.
• Solid expertise in Java, Spring Boot, REST APIs, and microservices architecture.
• Experience with full-stack technologies (Angular or React) and ability to guide end-to-end delivery.
• Strong knowledge of system design, scalability, reliability, and architecture reviews.
• Hands-on experience with AWS (including EKS), Docker, and Kubernetes.
• Experience with testing practices (unit, integration, acceptance automation) and CI/CD pipelines.
• Familiarity with tools such as OpenAPI, Jenkins, SonarQube, and security tools (e.g., Veracode or Checkmarx).
• Strong experience with stakeholder management in global environments, working across regions and time zones.
• Solid understanding of incident management, observability, and operational excellence.
• People leadership skills, with ability to coach, mentor, and grow engineers.
• Adoption of an AI-native mindset, using tools such as Cursor, Claude (or equivalent), MCP, and agentic workflows.
• Advanced English proficiency is mandatory;
• Availability to work in a hybrid model in São Paulo/SP.

⭐ Nice to have

• Experience with event-driven architectures and data streaming (e.g., Kafka).
• Experience with data platform or integration ecosystems.
• Advanced usage of AI and automation tools beyond the required baseline.
• Exposure to inner-source models and global engineering collaboration at scale.

Additional Information

At Serasa Experian, we believe that diversity is essential for a healthier and more innovative work environment, where everyone can share experiences and express their ideas. That’s why we promote several initiatives to support inclusive recruitment and the professional development of our people.

We also have our affinity groups, created to empower and support individuals from underrepresented groups: ExperianPride (LGBTQIAPN+ community), Ubuntu (racial equity), Women in Experian (gender equity), Aspire (people with disabilities), and Connecting Generations (generations).

Come be part of this transformation!

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