Reimagine access. Reimagine ownership. Build the future with Cinch.
Cinch is Southeast Asia’s leading circular tech subscription company, redefining how people and businesses access technology. Instead of adding to the growing e-waste crisis, we enable affordable, sustainable access to devices through subscriptions that maximize reuse and extend their lifecycle.
We operate across B2C, B2B, and B2B2C channels, including major partnerships with global leaders like Samsung. Our model sits at the intersection of powerful mega trends—sustainability, embedded finance, and the shift from ownership to access—creating a massive opportunity to reshape the future of tech consumption.
At Cinch, we are builders with high standards, a bias for action, and a shared mission to create a generational company that outlasts us. Freshly funded by leading institutional investors and growing rapidly, we’re creating an environment where ambitious people can do the best work of their careers—and where the work has real, lasting impact.
The Role
Cinch is looking for a Data Engineer to join our data team and help build, maintain, and improve data pipelines and systems. This role is ideal for someone who is comfortable with Python and SQL, has a solid foundation in data-related concepts, and is eager to grow in a real production environment. You will design and implement data models, ensure data integrity, and support software engineers to ensure data is reliable, scalable, accessible, and well-structured.
What You’ll Do
- Develop and maintain data pipelines using Python and SQL
- Extract, transform, and load (ETL/ELT) data from various sources
- Write efficient SQL queries for data analysis and reporting
- Assist in data modeling and database design
- Monitor data quality and troubleshoot data issues
- Collaborate with team members to understand data requirements
- Document data workflows
What We’re Looking For
- At least 1 year of hands-on experience in a Data Engineer, Analytics Engineer, or similar data-focused role
- Proficiency in Python (data processing, scripting)
- Strong SQL fundamentals, know how to optimize queries
- Understanding of databases (MySQL, PostgreSQL, or similar)
- Knowledge of data engineering concepts such as ETL, data pipelines, and schemas
- Knowledge of data architecture, data modelling, data mapping
- Strong ownership mindset and willingness to learn and adapt to new tools and technologies in a fast-paced environment
Nice to Have
- Experience with data tools or frameworks (e.g., dbt, Airflow), SQLMesh is a plus
- Knowledge of cloud platform (AWS, GCP)
- Familiarity with version control tools
