Looking for stable projects with modern tech and room to grow?
We are Clouds on Mars, an IT consulting company specializing in architecting and delivering solutions that exceed current technological and domain standards. From cloud and data engineering through AI-driven analytics to web apps and automation – we manage the full project cycle.
How we work
Our 120+ experts, organized into 4 Business Units, manage projects end-to-end - from technical presales and solution design to final delivery. Each team combines specialists from different fields - Data Engineers, BI Consultants, AI Engineers, Solution Architects, Power Platform Consultants, and Project Managers, enabling us to deliver truly comprehensive solutions. Every role is end-to-end: we don’t just execute tasks, we act as trusted advisors, guiding clients and leading projects from A to Z.
What we stand for
You’ll always have a team to count on and space to try out new ideas. We believe in ownership where your work will drive real change, not just tick boxes.
Here, learning never stops - we grow together and raise the bar step by step. And because we work with respect and passion, you won’t just deliver to clients but build real solutions along with them.
For those who share our mindset, we offer not just projects, but a full-time, long-term partnership.
Technologies we work with
Who are we looking for
We are looking for Team Lead - Data Engineer with proven expertise in leading consulting projects for external clients across various industries, delivering advanced data solutions using Microsoft Azure, Fabric, Databricks, and modern data engineering technologies. In this role, you will work directly with external clients on modern data platform implementations, while also supporting the development, performance, and engagement of a team of engineers working across multiple projects.
We are currently looking for Team Lead - Data Engineer with experience in AI/ML or a strong interest in developing their skills in this area. Candidates with relevant expertise or growth potential in this field will be given priority during the selection process.