About the job
Join Midas, where we tackle real-world engineering challenges to revolutionize the finance sector.
Our seamless investment platform has redefined investing for everyday users in Turkey, empowering 3.5 million investors to confidently manage their finances.
With a recent $80M Series B funding, the largest fintech investment in Turkey, we are poised for rapid growth.
In our fast-paced environment, data-driven decisions are critical. As a Data Analytics Engineer, you will be responsible for developing decision models and data pipelines that underpin our entire product suite, ensuring that every action is quantifiable, every data point is reliable, and every insight is delivered precisely when needed.
Become a part of Midas and contribute to shaping the future of investing for millions of users while thriving in a dynamic, product-focused engineering culture. Our data engineering team operates at scale, making hundreds of impactful decisions daily. To achieve rapid progress without compromising quality, we require a robust data infrastructure built from the ground up. In this role, you will collaborate with data scientists, analysts, and product teams to design, develop, and oversee data pipelines for Machine Learning, Business Intelligence, and Data Analytics. Your responsibilities will include crafting efficient data models, optimizing performance, and documenting processes to ensure transparency and maintainability across cross-functional teams.
