Data Engineer, Intern - MoneyLion

About Gen

Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.  

Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.  

When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career.

At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.  

If this sounds like you, we’d love you to be part of Gen. 

About the Role

The Kuala Lumpur office is the tech hub of MoneyLion, where we move fast and innovate constantly. We're looking for a Data Engineer Intern who’s excited about working with data and building scalable solutions. This internship will be 6 months long, starting in June 2026 to December 2026. Kindly note that this internship is only open to Malaysians, with final year students preferred.
Our Data Engineering team is creating a powerful data platform to help teams across MoneyLion build better products and experiences. We're using modern tools like Apache Iceberg to build an open, efficient, and connected infrastructure. As an intern, you’ll work with cloud technologies, help build and maintain data pipelines, and support projects in machine learning, analytics, and product development. Come join our diverse team as we shake up the world of traditional finance!

About MoneyLion

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action.
In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.
Key Responsibilities

• Assist in building and maintaining scalable data pipelines for data ingestion, transformation, and delivery.
• Collaborate with data scientists, analysts, and software engineers to deliver high-quality datasets.
• Help maintain data platforms and support data governance efforts by managing data access.
• Contribute to documentation and best practices for data engineering workflows.
• Learn and work with tools like Apache Airflow, Spark, AWS and SQL/NoSQL databases

About You

• Currently pursuing a degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field.
• Familiarity with programming languages such as Python and SQL.
• Understanding of database concepts, ETL pipelines and foundational data engineering principles.
• Exposure to cloud platforms (preferably AWS), distributed computing (e.g. Spark) or orchestration (e.g. Airflow) is a plus.
• Has a deep sense of ownership towards professional development, day-to-day responsibilities, and self-learning.
• Strong problem-solving skills and the ability to think creatively.
• Eager to learn quickly, stay curious, and adapt to new technologies with enthusiasm.

What's Next...

After you submit your application, you can expect the following steps in the recruitment process:

• Technical Assessment
• TA Call
• Take Home Assessment
• Interview - Hiring Manager (Virtual or face-to-face)

*If you’ve already sent in your application for this position and were not selected, please re-apply after 6 months.*

Gen is an equal opportunity employer, and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs. 

#LI-MLN

Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds.

We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency. 

To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.