Job description:

• Develop and improve ourcloud baseddata platform for data analytic and business insights using most innovative data technologies
• Build end-to-end data pipelines from raw data ingestion to consumable data: prepare and clean structured and unstructured data and develop high-quality data models for advanced analytics and AI use cases
• Implement data quality monitoring to ensure accuracy and reliability of data pipelines
• Architect, code, and deploy data infrastructure components
• Collaborate closely withhighly ambitiousdata engineers and analysts in our growing Data, AI &MarTechDepartment as well as product technology colleagues
• Stay up to date with latest market developments in data cloud architecture and share your knowledge
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Your profile

• University degree in computer science, mathematics, natural sciences, or a similar field
• Several years of experience in data engineering and strong know-how in building robust, scalable, and maintainable data pipelines and analytical data models
• Significant hands-on experience designing and operating data pipelines on cloud-based data platforms (AWS, GCP) using data-native services (S3, Athena, BigQuery…)
• Strong experience in data warehousing and analytics engineering, ideally including dbt and dimensional data modelling