- Location
- İstanbul, Turkey
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Source
- Lever
Description
At Midas, we are working on real-life engineering challenges to transform the world of finance.
We’ve transformed investing in Turkey by delivering a seamless experience for everyday investors.
Today, 3.5 million users invest with Midas. Backed by an $80M Series B, the largest fintech investment ever in Turkey, we are scaling faster than ever.
At Midas, decisions move fast — and they're only as good as the data behind them. This role owns the decision models and data pipelines that power all the products in Midas, ensuring every action taken is measurable, every line of data is trustworthy, and every insight arrives accurately on time.
Join the Midas team and help shape the future of investing for over 3.5 million users — in a high-velocity, product-driven engineering culture. Data Engineering at Midas operates at scale — hundreds of decisions that compound daily. To move fast without breaking things, we need data infrastructure that's accurate, automated, and built for modeling from the ground up. As a Data Analytics Engineer at Midas, you’ll collaborate with data scientists, analysts, and product teams to design, develop, and manage data pipelines for Machine Learning, Business Intelligence, and Data Analytics needs. The role involves creating efficient data models, optimizing performance, and documenting data processes to ensure clarity and maintainability across cross-functional teams.
Skills
PythonSQLMachine LearningAirflowData ScienceData Engineering
