Team Lead - Data Engineer

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 Data Platforms: Microsoft Fabric, Databricks, and Snowflake  Power BI, Power Platform: Power Automate, Power Apps, Copilot Studio  Azure Machine Learning, AI Foundry, Cognitive Services, MCP Servers  Python, React.js, App Services, Container Apps    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. What yo'll do Design and deliver scalable ETL/ELT pipelines, data models, and reporting solutions using technologies such as Azure Data Factory, Synapse, Fabric, Databricks, and Power BI.  Architect modern data platforms (data warehouse, data lake, or lakehouse) with performance, scalability, and reliability in mind.  Collaborate with technical stakeholders to translate business requirements into robust, production-ready data solutions.  Contribute to CI/CD processes, code quality standards, automated testing, and documentation.  Act as a senior technical contributor across one or more client projects in a consulting setting.   Act as direct people manager for a team of data engineers, responsible for performance reviews, development planning, and career coaching.  Conduct regular 1:1s, provide feedback, and support skills growth through mentoring and learning opportunities.  Balance and allocate team members across multiple projects, ensuring workload clarity and capacity planning.  Foster a healthy, collaborative team culture by promoting open communication, continuous improvement, and psychological safety.  Monitor team morale and resolve delivery blockers that affect individual or team performance.   Work closely with Project Managers and Technical Leads to align team priorities and remove conflicts or inefficiencies.  Ensure consistency in delivery standards, team engagement, and cross-project coordination.  Support team members in navigating overlapping priorities or challenges across multiple engagements.  What you bring 5+ years of experience delivering data engineering solutions in a consulting or multi-client project environment.  Strong technical expertise with the Microsoft Azure ecosystem (Data Factory, Synapse, Fabric), Databricks, and Power BI.  Solid background in ETL/ELT design, data integration, data modeling, and performance optimization.  Proven people management experience, including performance evaluation, coaching, and career development.  Excellent communication skills and ability to engage with both technical and business stakeholders.  Fluency in English and Polish.