Data Engineer at Experian

Sepang, Selangor, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

0.0

Posted On

21 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Azure, Python, SQL, Dagster, Dbt, Snowflake, SQL Server, Data modeling, Terraform, CI/CD, Git, Docker, Ecr, Eks, Data pipelines

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in talented people and new advanced technologies to unlock the power of data and innovate. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 25,200 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description We're looking for a skilled Data Engineer with a strong product builder mindset to join our Product Development Team. In this role, you'll be instrumental in building and maintaining the data infrastructure that powers our data products. You'll work closely with product owners, engineers, developers, and data scientists to ensure the quality, consistency, and scalability of our solutions. This is a hands-on role where you'll help shape the future of our data products—translating business needs into robust, scalable data solutions that empower our clients to make smarter decisions. What you'll do Design and build robust, scalable data pipelines to ingest and process large volumes of data. Develop complex data models to support client-facing teams and product features. Lead and support the migration of data infrastructure from on-premise to cloud environments. Collaborate with stakeholders to understand data requirements and translate them into technical solutions. Implement and maintain optimal cloud-based architectures to support our data products. Own the full lifecycle of data processes—from ideation to deployment and maintenance. Qualifications What we are looking for Hands-on experience with AWS and Azure cloud platforms. Strong Python skills and advanced SQL proficiency. Experience with Dagster, DBT, Snowflake, and SQL Server. Deep understanding of conceptual, logical, and physical data modeling for both OLTP and OLAP systems. Familiarity with AWS EC2, Terraform, CI/CD pipelines, Git, Docker, ECR, and EKS. Excellent collaboration skills to work effectively with cross-functional teams. Additional Information Our uniqueness is that we truly value yours. Experian Asia Pacific's culture, people, flexibility and environments are key differentiators. We take our people and equal opportunity agenda very seriously. We focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. We're an award winning organisation due to our strong people focus (Great Place To Work, Top Employer and Employer of Choice). Experian Asia Pacific leverages cutting edge data science, inclusion and start-up mindsets to build tomorrow's credit solutions. Innovation is a critical part of Experian's DNA and practices. As is our diverse workforce, which drives our success. Everyone can succeed at Experian, irrespective of their gender, ethnicity, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Hybrid Department: Product Development Schedule: Full Time

Responsibilities

Design and build robust, scalable data pipelines to ingest and process large volumes of data while maintaining data infrastructure. Collaborate with cross-functional teams to translate business requirements into technical data solutions.