📍 100% remote | 🕒 Full-time | 🌍 International environment
We are looking for an experienced Tech Lead with a strong background in Data Engineering to guide a technical team in designing and building scalable Big Data solutions. This is a hands-on leadership role that combines technology development, mentoring, and responsibility for production-grade infrastructure in a modern, cloud-based environment.
- Provide technical leadership to a team of Data Engineers in large-scale data processing projects
- Design and develop robust data pipelines using Python, Spark, Databricks, and Azure Cloud
- Implement and optimize data workflows with Airflow or similar orchestration tools
- Collaborate closely with DevOps, product teams, and stakeholders in an Agile environment
- Contribute to infrastructure automation and CI/CD processes
- Ensure system stability and observability in production (e.g., through tools like Datadog)
- Stay up to date with emerging technologies — familiarity with blockchain concepts is a plus
- 5+ years of experience in data engineering, including technical leadership responsibilities
- Strong hands-on expertise in Python and Big Data tools (e.g., Spark, Databricks)
- Experience working with Airflow or equivalent data orchestration frameworks
- Proficiency in Azure Cloud and containerization using Docker
- Excellent team collaboration and communication skills
- Solid command of English (written and spoken) in a professional environment
- Knowledge of blockchain technologies and related data structures
- Experience with monitoring and production tooling (e.g., Datadog, CI/CD automation)
- Familiarity with Agile methodologies and enterprise-scale project environments