Global SaaS company that collects, processes, and analyzes large-scale web data to create consumer insights for leading international brands. Tools and platforms help clients manage e-commerce, social media, and product development activities efficiently. The company’s data solutions combine cutting-edge technologies, analytics, and AI-based components – enabling businesses to understand markets, trends, and customer behavior more deeply.
We are seeking a Mid-Level Data Engineer to design, build, and optimize scalable data pipelines using AWS and the Databricks framework. As a member of the Data Engineering team, you’ll ensure data reliability, integrity, and efficiency, and contribute to implementing machine learning (ML), MLflow, and LLM-based solutions that power intelligent data products. You will collaborate closely with R&D, Product, and Delivery teams to validate features, improve system performance, and deliver high-quality, client-ready data outputs.
