数据 | 软件工程师
Data | Software Engineer
#### 公司简介
Experian 是一家全球数据和技术公司，为世界各地的个人和企业创造机会。我们涉足广泛的市场，包括金融服务、医疗保健、汽车、农业业务、保险等。Experian 投资于人才和先进的新技术，以释放数据的潜力。我们在 32 个国家拥有 25,200 名员工。
我们的独特之处在于重视你的价值。Experian 以人为本、包容且有目标驱动的文化获得了多项奖项——包括 2025 年《财富》全球最佳雇主榜单（Fortune Global Top 25）以及在 26 个国家获得的“最佳工作场所”（Great Place To Work™）等。请关注 Experian 的社交媒体或浏览我们的招聘网站，了解原因。Experian 还自豪地成为平等机会和积极行动的雇主。
#### 职位描述
我们正在寻找一名数据 | 软件工程师，负责设计、构建和演进可扩展且高弹性的数据平台解决方案，为 Experian 市场营销服务的核心产品提供支持。在此职位中，你将参与大规模的云原生数据流水线，优化分布式处理系统，并确保 PB 级工作负载的可靠性和性能。你将在敏捷价值流团队中运作，应用扎实的工程实践，并与全球利益相关者合作，交付高质量的、关键业务的数据解决方案。
你的主要职责
- 使用 Scala、Spark 和云原生技术设计、开发和维护大规模数据流水线，确保高性能、可扩展性和可靠性。
- 通过设计高效、可靠的分布式系统和优化数据处理流程来解决复杂的数据工程挑战。
- 参与生产级数据平台的建设，交付高质量、经过测试的代码并支持端到端功能开发。
- 通过编写整洁、可测试和良好文档化的代码、代码审查以及遵循工程标准来确保软件质量。
- 在敏捷价值流团队中协作，与工程师、产品负责人和跨职能利益相关者紧密合作，交付对齐的技术解决方案。
- 为同事提供技术支持，参与架构讨论、代码审查，并推动最佳工程实践。
- 支持发布和运维流程，包括部署、监控、告警以及系统可靠性的持续改进。
查看英文原文
#### 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 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.
#### Qualifications
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.
#### 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
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