Required Data Team Lead
As part of your role you will have the opportunity to:
Lead, mentor, and manage a team of experienced Data/Backend Engineers responsible for designing, building, and maintaining data infrastructure and data-driven applications
Oversee the planning and execution of the development cycle (e.g., sprints), ensuring timely and high-quality delivery
Define, build, and align the Data team roadmap with the company's product vision and overall R&D strategy
Analyze and optimize performance, scalability, and stability of Data team services
Collaborate effectively with other R&D teams on cross-functional projects and shared infrastructure
Take ownership of production incidents related to the Data domain, ensuring clear communication and effective coordination
Manage team performance and growth through regular 1:1 meetings, constructive feedback, periodic performance reviews, and comprehensive annual evaluations.
Requirements: At least 2 years of proven experience as a Team Lead
At least 4 years of hands-on experience as a Data or Backend Engineer, preferably in a large-scale, high-throughput production environment. Deep understanding of backend
Willingness to work in a high-pace environment: proactive, adaptable, and focused on delivering results
Ability to act under pressure and navigate complex scenarios with clear decision-making and leadership
Ability to guide and mentor engineers
Strong familiarity with agile methodologies (e.g., Scrum or Kanban), including sprint planning, retrospectives, backlog management, and continuous improvement
Excellent collaboration skills, with the ability to work cross-functionally with product managers, engineers, DevOps, and CS team
Architecture and system design, with a focus on scalability, maintainability and monitoring
Practical experience designing, developing, and maintaining distributed real-time and batch processing pipelines using tools like Kafka, Spark, Airflow and Apache Storm, along with a strong understanding of the operational aspects of running these pipelines in production
Hands-on experience working with cloud platforms (such as Azure, AWS), leveraging managed services.
This position is open to all candidates.