описание
A hands-on role building scalable data infrastructure that powers AI-driven products and audience intelligence.
задачи
- Design, build and maintain scalable batch and near real-time pipelines across ingestion, transformation and serving layers.
- Develop reusable data models and optimise 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 robust data validation, testing, lineage and observability to ensure high-quality, trusted datasets.
- 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 while communicating clearly with stakeholders.
требования
- Strong Python and SQL skills, with experience building production-grade data pipelines.
- Hands-on experience with modern data tools (e.g. Snowflake, Airflow, dbt) and cloud environments (preferably AWS).
- 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, with a passion for building impactful data products.
условия
- Условий в вакансии нет
