data engineer for AI-driven products

Global operates in broadcast media production and distribution. Its Global:IQ platform supports AI-driven products and audience intelligence.

• Design, build, and maintain scalable batch and near real-time data pipelines across ingestion, transformation, and serving layers
• Develop reusable data models and optimize pipeline performance, reliability, and cost
• Shape the Global:IQ data platform through best practices in architecture, tooling, CI/CD, and infrastructure as code
• Create reusable components and maintain clear technical documentation
• Implement data validation, testing, lineage, and observability
• Support governance and privacy-conscious data handling
• Partner with Data Science, MLOps, Product, and commercial teams to deliver production-ready data solutions
• Support and mentor others and communicate with stakeholders
• Take responsibility for production-grade data systems powering targeting, optimization, and measurement
• Onboard key datasets with robust ingestion and quality standards
• Deliver reliable pipelines supporting live production use cases
• Establish or improve data engineering standards and best practices
• Build working relationships across Data, Product, and commercial teams
• Identify opportunities to improve scalability, reliability, and efficiency

• Strong Python and SQL skills
• Experience building production-grade data pipelines
• Hands-on experience with modern data tools such as Snowflake, Airflow, and dbt
• Knowledge of CI/CD, testing, version control, and infrastructure as code
• Understanding of observability, validation, and maintaining reliable data systems
• Ability to translate business and data science needs into scalable solutions and communicate clearly with stakeholders
• Pragmatic, ownership-driven, and curious approach, with a passion for building impactful data products
• Будет плюсом: experience with cloud environments, preferably AWS

• Условий в вакансии нет