Design, develop, and maintain scalable data pipelines and analytics solutions in GCP.
Develop solutions for collecting, processing, and analyzing LLM token usage data.
Build forecasting and anomaly detection mechanisms to monitor AI consumption patterns.
Optimize and maintain BigQuery datasets and cloud-based processing environments.
Collaborate with cross-functional teams to translate business needs into scalable AI/data solutions.
Ensure high-quality data processing through testing, monitoring, and automation best practices.
Contribute to data architecture, analytics frameworks, and continuous improvement initiatives.

At least 3 years of commercial experience in Data Engineering, AI analytics, or cloud-based AI/ML solutions.
Strong programming skills in Python, including clean code practices and OOP design.
Hands-on experience with GCP services, especially BigQuery.
Experience working with Machine Learning models and large-scale datasets.
Experience in collecting and analyzing LLM token usage data, including forecasting and anomaly detection use cases.
Familiarity with cloud-based analytics and scalable data processing solutions.
Understanding of LLMs and AI/ML systems in production environments.
Excellent communication skills and experience working directly with clients and business stakeholders.
Ability to work independently and take ownership of project deliverables.
Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.
Good English communication skills (C1 level).

Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

Data Engineer, GCP

Key skills