VOTRE PROCHAIN CHAPITRE
Team Lead, Python – Data
À propos du poste
• Take full ownership of planning and delivering technical roadmap items
• Lead backend, full stack, and QA engineers; organize day-to-day work and ensure predictable delivery
• Improve estimation accuracy and reduce delays
• Plan work for the next quarter and contribute to high-level multi-quarter planning with the Director of Data & AI and Product Manager
• Maintain and regularly review the technical risks registry and manage risks early
• Optimize data gathering processes, data pipelines, performance, and system reliability
• Drive modernization of legacy services, architecture improvements, and technical debt reduction
• Collaborate with product managers, solution architects, and other teams on priorities and alignment
• Ensure proper documentation, visibility, and knowledge sharing inside the team
• 6+ years of Python experience, including high-performance data systems such as StarRocks
• 2+ years in a role with technical leadership responsibilities (team leader, tech lead, etc.)
• Experience with planning, estimation, and delivering complex projects, such as database migration
• Deep familiarity with data lakehouse architectures
• Experience with data gathering/data scraping
• Strong understanding of performance optimization and scalability principles
• Confident in owning decisions with business impact
• Able to work under high delivery pressure and manage trade-offs
• B1+ English level
• Vacation and public holidays following your country's regulations
• Additional PTOs annually for personal rejuvenation
• Medical insurance or health care compensation
• Paid sick leave
• Top online/offline conferences and mobile industry events
• Internal courses for continuous professional development
• Micro-management-free and supportive management style
• Semi-annual performance review sessions
• New career opportunities through the internal mobility program
• Corporate online events and offline team retreats
• Collaboration between teams through shared OKRs
• Flexible working schedule
• Remote-first working environment
• Coworking costs coverage program
• Office hubs in key locations