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 DescriptionWe are looking for a Data | Software Engineer to design, build, and evolve highly scalable and resilient data platform solutions that power Experian Marketing Services’ core products. In this role, you will work on large-scale, cloud-native data pipelines, optimize distributed processing systems, and ensure the reliability and performance of petabyte-scale workloads. You will operate within agile value stream teams, applying strong engineering practices and collaborating with global stakeholders to deliver high-quality, business-critical data solutions.
Your key responsibilities
- Design, develop, and maintain large-scale data pipelines using Scala, Spark, and cloud-native technologies, ensuring high performance, scalability, and reliability.
- Solve complex data engineering challenges by designing efficient, resilient distributed systems and optimizing data processing workflows.
- Contribute to production-grade data platforms, delivering high-quality, tested code and supporting end-to-end feature development.
- Ensure software quality through clean, testable, and well-documented code, code reviews, and adherence to engineering standards.
- Collaborate within agile value stream teams, working closely with engineers, product owners, and cross-functional stakeholders to deliver aligned technical solutions.
- Provide technical guidance to peers, contributing to architecture discussions, code reviews, and promoting best engineering practices.
- Support release and operational processes, including deployments, monitoring, alerting, and continuous improvement of system reliability.
- Drive improvements in performance, cost efficiency, and scalability of data processing workloads.
What we expect from you
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Solid experience in software or data engineering.
- Strong expertise in building and optimizing large-scale data pipelines using Scala and Apache Spark.
- Hands-on experience with cloud-native data platforms (AWS, GCP, or Azure), including services such as S3, Glue, Athena, or equivalent.
- Strong understanding of distributed systems, resiliency patterns, data partitioning, and efficient data access strategies.
- Experience designing and operating highly parallelized data workloads.
- Proficiency with Git-based version control systems (GitHub, Bitbucket, etc.).
- Familiarity with agile methodologies and collaborative development in multi-team environments.
- Strong communication skills, with the ability to contribute in technical discussions and support peer development.
- Advanced English proficiency and availability to travel to São Carlos/SP when needed.
Nice to have
- Experience with DBT or other data transformation frameworks.
- Knowledge of concurrent and parallel programming patterns.
- Experience with functional programming (Scala) or languages such as Java, Python, or Rust.
- Familiarity with modern data platform architectures and large-scale data ecosystems.
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 related field, or equivalent experience
- Solid experience in software or data engineering
- Strong expertise building and optimizing large-scale data pipelines using Scala and Apache Spark
- Hands-on experience with cloud-native data platforms (AWS, GCP, or Azure) including S3, Glue, Athena, or equivalent
- Strong understanding of distributed systems, resiliency patterns, data partitioning, and efficient data access strategies
- Experience designing and operating highly parallelized data workloads
- Proficiency with Git-based version control systems (GitHub, Bitbucket, etc.)
- Familiarity with agile methodologies and collaborative multi-team development
- Strong communication skills and advanced English proficiency
- Availability to travel to Sao Carlos/SP when needed
- Experience with DBT or other data transformation frameworks
- Knowledge of concurrent and parallel programming patterns
- Experience with functional programming or languages such as Java, Python, or Rust
- Familiarity with modern data platform architectures and large-scale data ecosystems
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.
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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.
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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.
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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
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.
