Вакансии: Данные

Lead a team of approximately eight developers within an enterprise data warehouse and business intelligence environment. Own delivery planning, process architecture, development standards, and team mentoring.

Lead company-wide measurement, product analytics, data quality, and reporting for an AI-focused human development platform. Report to the Head of Data and partner with Product and Engineering.

Lead a Data Operations team responsible for reliable, secure, and efficient enterprise data platforms across on-premises and Google Cloud environments.

Join a technology firm building autonomous systems and AI-driven platforms. Design and own real-time data infrastructure, streaming pipelines, and lakehouse solutions for high-scale, mission-critical environments.

Lead a Data Operations team responsible for the stability, reliability, performance, and evolution of enterprise data environments across on-premises and cloud infrastructure. The role combines hands-on operations, production ownership, automation, monitoring, and GCP cloud transformation.

Join a data integration team to design, implement, troubleshoot, and optimize customer data integrations, pipelines, and transformation processes.

Join a professional data and AI team supporting data transformation and advanced information solutions within a large organization. The role is hybrid and requires at least three years of relevant experience.

Join a digital healthcare group and turn customer and business data into actionable insights that improve retention, repeat purchases, reactivation, and customer lifetime value across international markets.

Lead a team of senior data scientists while remaining hands-on in the development and deployment of large-scale machine learning systems for digital advertising analytics.

Join a sovereign cybersecurity company to develop and deploy advanced AI systems for government-focused security products. The role covers applied research, LLMs, deep learning, and agent-based architectures, with ownership from problem definition through production deployment.