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 Mid Software Engineer to join Experian Marketing Services’ global engineering team and help build the next generation of large-scale systems powering our Graph products. In this role, you will contribute to the architecture, design, and development of high-performance software solutions that process data at petabyte scale, leveraging modern technologies such as Scala, cloud-native platforms, machine learning, and distributed data processing frameworks. Working closely with Engineering, Product, and Data Science teams, you will play a key role in delivering reliable, scalable, and secure solutions while maintaining the highest standards of consumer privacy and data protection.
Your key responsibilities
- Contribute to the architecture, design, development, and implementation of EMS systems and Graph products.
- Partner with Technical Leads and engineering teams to design, execute, and successfully deliver complex technical initiatives.
- Develop and maintain scalable software solutions capable of processing large-scale real-time and batch data workloads.
- Collaborate with Product, Engineering, and Data Science teams to build innovative, high-quality products and services.
- Support the development of data ingestion engines, ETL pipelines, and data platforms that enable scalable data consumption.
- Participate in code reviews, promoting engineering excellence, maintainability, and knowledge sharing across the team.
- Troubleshoot technical issues and contribute to performance, reliability, and operational improvements.
- Participate in on-call rotations as required, supporting critical systems and ensuring service availability.
- Contribute to a collaborative engineering culture by mentoring peers and sharing technical knowledge.
- Ensure solutions are built with a strong focus on data security, privacy, and engineering best practices.
What we expect from you
- Professional software engineering experience with consistent hands-on coding contributions.
- Strong understanding of algorithms, data structures, and software engineering fundamentals.
- Experience developing applications using Scala, Java, or Python.
- Experience working with high-scale distributed systems, including real-time and batch processing environments.
- Interest and experience in data engineering, including data ingestion, ETL development, and large-scale data processing.
- Ability to contribute to the architecture and technical design of complex software solutions.
- Strong problem-solving and analytical skills with a focus on delivering scalable and reliable systems.
- Excellent collaboration and communication skills, with the ability to work effectively in cross-functional and global teams.
- Passion for engineering excellence, including providing meaningful code reviews and constructive technical feedback.
- Availability to work and collaborate with teams operating in the Eastern Time Zone.
- Commitment to building secure, privacy-first, and high-quality software solutions.
Nice to have
- Experience with cloud platforms such as Google Cloud Platform (GCP) or AWS.
- Experience with Scala and related ecosystem tools such as sbt, Cats, http4s, and FS2.
- Knowledge of Java and Python development environments.
- Experience with workflow orchestration and cloud-native technologies, including Airflow and Kubernetes.
- Hands-on experience with large-scale data processing frameworks such as Google Dataflow, Apache Beam, Spark, SQL, BigQuery, or similar data warehouse technologies.
- Exposure to machine learning-driven products or data-intensive applications.
- Experience working in large-scale distributed environments with complex data processing requirements.
- Previous experience supporting production systems through on-call rotations and operational excellence practices.
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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Skills Required
- Professional software engineering experience with consistent hands-on coding contributions.
- Strong understanding of algorithms, data structures, and software engineering fundamentals.
- Experience developing applications using Scala, Java, or Python.
- Experience working with high-scale distributed systems, including real-time and batch processing environments.
- Interest and experience in data engineering, including data ingestion, ETL development, and large-scale data processing.
- Ability to contribute to the architecture and technical design of complex software solutions.
- Strong problem-solving and analytical skills focused on delivering scalable and reliable systems.
- Excellent collaboration and communication skills for working in cross-functional and global teams.
- Passion for engineering excellence, including providing meaningful code reviews and constructive technical feedback.
- Availability to work and collaborate with teams operating in the Eastern Time Zone.
- Commitment to building secure, privacy-first, and high-quality software solutions.
- Experience with cloud platforms such as Google Cloud Platform (GCP) or AWS.
- Experience with Scala ecosystem tools (sbt, Cats, http4s, FS2).
- Knowledge of Java and Python development environments.
- Experience with workflow orchestration and cloud-native technologies, including Airflow and Kubernetes.
- Hands-on experience with large-scale data processing frameworks (Google Dataflow, Apache Beam, Spark, SQL, BigQuery).
- Exposure to machine learning-driven products or data-intensive applications.
- Previous experience supporting production systems through on-call rotations and operational excellence practices.
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.
