Data Engineer Intern

We are seeking a Data Engineering Intern to join our data team and support the development and maintenance of data pipelines, infrastructure, and tooling. This role is ideal for someone who enjoys working with backend systems and wants to gain hands-on experience in building data systems that power analytics and business decisions.

About Flip

Rafi, Luqman, and Anjar, who were college friends in Universitas Indonesia, started Flip as a project in 2015 to transfer payments to each other at a fraction of what banks would charge them. They are pioneers in the Indonesian market, with their technology now helping millions of Indonesians, both individuals and businesses, carry out bank-to-bank money transfers through a reliable and seamless app.

After nine years of operations, Flip has helped Indonesians transfer money worth several trillions of rupiah and has received double-digit funding from respectable investors such as Sequoia India, Insight Partner, and Insignia. Flip’s ultimate mission is to give Indonesians access to one of the most progressive and fairest financial services in the world.

At Flip, we always strive to provide the fairest place for you to work, learn, and grow with talented and fun people in various opportunities to advance your career and get fair rewards. We believe that we have to treat employees, customers, and all stakeholders fairly and respectfully. Fair treatment for employees means we establish clear goals, facilitate our employees to achieve them, and value their contribution to the company with equitable benefits.

What You’ll Do

• Assist in developing and maintaining ETL pipelines to process and transform data

• Support data quality checks and monitoring efforts

• Help integrate new data sources into our data warehouse

• Collaborate with data engineers and analysts to optimize data models and workflows

• Work with modern data tools such as dbt, Airflow, BigQuery, or similar platforms
  
  

What We’re Looking For

• Currently pursuing a degree in Computer Science, Data Engineering, or a related field

• Familiarity with SQL and at least one programming language (e.g., Python, Java)

• Understanding of data structures, APIs, or databases is a plus

• Interest in cloud platforms like GCP, AWS, or Azure

• A problem-solving attitude and desire to build scalable data solutions