Dreаmix was founded 19 years ago by passionate IT students, who wanted to create the dreamiest workplace where everyone is heard, works under transparent management, and lives up to their full potential. Now, many years later, we deliver software solutions for renowned companies from Germany, the UK, Switzerland, and Silicon Valley. Dreamix provides quality software services and products for top enterprises around the world through Java and Web technologies.

We believe that the employer-employee relationship must be in the form of partnership not transaction. We are committed to investing as much as possible in our employees and we expect the same from you. Culture is what makes us different as we strongly believe in striving for mastery, teamwork, knowledge sharing, proactivity, a healthy lifestyle, and personal development.

We're looking for a Lead Data Engineer to architect and drive the development of large-scale, real-time data systems that power mission-critical platforms. You'll design and build robust backend and streaming infrastructure, lead high-impact projects from concept to production, and work closely with cross-functional teams.

This is a hands-on leadership role for someone who loves solving hard data engineering problems at scale — from real-time stream processing to distributed systems architecture.

What you'll do:

• Architect and develop robust, scalable systems using Python, with a focus on real-time applications.
• Design and implement big data solutions using Kafka, and Spark, to process high-throughput, real-time data feeds.
• Lead the development of innovative, high-impact projects such as real-time tracking and optimization platforms, and large-scale operational management solutions.
• Contribute to and evolve backend architecture
• Collaborate with product, engineering, and operations teams across multiple countries to deliver end-to-end solutions.
• Mentor engineers and help set technical direction and best practices for the data engineering team.

What we're looking for:

• Strong experience with Kafka and real-time/streaming data architectures.
• Proficiency in Python,.
• Proven track record designing and scaling distributed, high-throughput backend systems.
• Hands-on experience with big data and stream-processing frameworks (Spark,, or similar).
• Comfortable leading projects end-to-end and working with cross-border, cross-functional teams.
• Strong communication skills and ability to collaborate effectively across time zones and cultures.