Data Engineer Ii - Location Intelligence jobs at Booking in Netherlands, Amsterdam
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Company (1)
Job type
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Job title (1)
Netherlands
Amsterdam
24 jobs found
26.05.2025
B
Booking Data Engineer II - Location Intelligence Netherlands, North Holland, Amsterdam
Rapidly developing next-generation scalable, flexible, and high-performance data pipelines. Solving issues with data and data pipelines, prioritizing based on customer impact. End-to-end ownership of data quality in our core datasets...
Translate business needs into ML/AI challenges, creating targeted research plans and innovative models for both immediate impact and long-term value. Develop and deploy state-of-the-art ML/AI solutions, including NLP and active...
Lead and develop a high-performing team, fostering individual growth and collaboration. Manage and mentor ML engineers and ML scientists, ensuring their professional development and effectiveness. Develop scalable ML infrastructure and...
Leading the design and delivery of entire Data Science solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently. E.g.Continuous exploration of product data to...
Responsible for owning the design and delivery of entire Data Science solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently. Responsible for working autonomously...
Design, develop and implement systems software that improves the stability, scalability, availability and latency of the Booking.com products;. Take ownership of one or more services and have the freedom to...
Data & AI Governance including meta and master data management. Data & AI Delivery Governance. Data & AI Quality including both technical and business quality measures. Data Stewardship: Manage and...
Rapidly developing next-generation scalable, flexible, and high-performance data pipelines. Solving issues with data and data pipelines, prioritizing based on customer impact. End-to-end ownership of data quality in our core datasets...
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