Junior Data | Software Engineer

Posted Yesterday
Be an Early Applicant
Hiring Remotely in São Carlos, São Paulo, BRA
In-Office or Remote
Junior
Big Data • Marketing Tech • Analytics
The Role
Support development and operation of scalable data pipelines and platform components. Apply software engineering best practices, assist with testing and releases, collaborate in agile teams, follow monitoring and incident protocols, and grow technical skills through mentorship and hands-on work.
Summary Generated by Built In
Company Description

Experian is a global data and technology company that powers 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 in advanced new technologies to unlock the power of data. We have an incredible team of 25,200 employees across 32 countries.

Our uniqueness is valuing yours. Experian’s people-centric, inclusive, and purpose-driven culture has been recognized with several awards — including World’s Best Workplaces™ 2025 (Fortune Global Top 25) and Great Place To Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers site to understand why. Experian is also proud to be an equal opportunity and affirmative action employer.

Job Description

We are looking for a Junior Data | Software Engineer to join our team and support the development and operation of scalable, data-driven software solutions. In this role, you will work alongside experienced engineers to contribute to data pipelines, platform components, and core engineering initiatives. You will help ensure reliability, quality, and performance while strengthening your technical foundation in a collaborative and agile environment. This is a great opportunity to grow your engineering skills and actively contribute to the evolution of Experian Marketing Services data platforms.

Your key responsibilities

  • Support the development of scalable data pipelines and platform components, following established frameworks, standards, and guidance from senior engineers.
  • Apply software engineering best practices, including coding standards, version control, testing, and documentation, to deliver reliable and maintainable code.
  • Assist in testing and release activities by executing test cases, validating changes, and following deployment procedures to ensure quality and stability.
  • Collaborate with engineers, product owners, and cross-functional teams in an agile environment to support feature development and delivery commitments.
  • Contribute to operational activities by following monitoring practices, deployment standards, and incident protocols to maintain platform reliability.
  • Continuously develop technical skills through hands-on work, mentorship, and feedback, increasing autonomy and contribution over time.

Qualifications

What we expect from you

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Experience in software or data engineering environments.
  • Foundational knowledge of software engineering concepts and coding best practices.
  • Experience with SQL and basic data querying.
  • Exposure to or willingness to learn big data technologies such as Scala, Spark, and distributed processing.
  • Basic understanding of data processing concepts, including partitioning, parallel workloads, and query optimization.
  • Familiarity with at least one cloud platform (AWS, Azure, or GCP).
  • Experience using version control systems (e.g., Git) and collaborative development workflows.
  • Ability to write testable code and support testing and documentation activities.
  • Familiarity with agile methodologies and team collaboration practices.
  • Strong communication skills and a continuous learning mindset.
  • Advanced English proficiency and availability to travel to São Carlos/SP when needed.

Nice to have

  • Exposure to data transformation tools such as DBT.
  • Familiarity with concurrent or parallel programming concepts.
  • Experience with data migration tools or processes.
  • Exposure to functional programming languages such as Scala.
  • Interest in data platform architectures and large-scale data processing environments.

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).

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Skills Required

  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Experience in software or data engineering environments.
  • Foundational knowledge of software engineering concepts and coding best practices.
  • Experience with SQL and basic data querying.
  • Exposure to or willingness to learn big data technologies such as Scala, Spark, and distributed processing.
  • Basic understanding of data processing concepts, including partitioning, parallel workloads, and query optimization.
  • Familiarity with at least one cloud platform (AWS, Azure, or GCP).
  • Experience using version control systems (e.g., Git) and collaborative development workflows.
  • Ability to write testable code and support testing and documentation activities.
  • Familiarity with agile methodologies and team collaboration practices.
  • Strong communication skills and a continuous learning mindset.
  • Advanced English proficiency and availability to travel to Sao Carlos/SP when needed.
  • Exposure to data transformation tools such as DBT.
  • Familiarity with concurrent or parallel programming concepts.
  • Experience with data migration tools or processes.
  • Exposure to functional programming languages such as Scala.
  • Interest in data platform architectures and large-scale data processing environments.

Experian Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.

  • Healthcare Strength Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
  • Leave & Time Off Breadth Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
  • Retirement Support Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.

Experian Insights

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The Company
HQ: Costa Mesa, CA
16,292 Employees
Year Founded: 1980

What We Do

Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.

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