About the role
Senior Data Engineer 1 Job Details | PayU Payments We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve the website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Modify Cookie Preferences Reject All Cookies Accept All Cookies Skip to main content Home Page
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About Us Open Jobs Language English (United Kingdom) Candidate Login Select how often (in days) to receive an alert: Create Alert × Select how often (in days) to receive an alert: Apply now » Senior Data Engineer 1
About
the Team Our Data Engineering team is a dynamic and innovative group that forms the backbone of our data-driven organization. We are responsible for building and maintaining robust, scalable data infrastructure that powers critical business decisions across multiple domains.
The team works on cutting-edge technologies and handles massive data volumes, ensuring seamless data flow from various sources to our data warehouse and analytics platforms. We play a crucial role in powering Machine Learning models across various use cases by building sophisticated feature engineering pipelines, deploying ML model infrastructure, and maintaining real-time feature generation systems.
About
the Role As a Senior Data Engineer, you will play a crucial role in designing, implementing, and maintaining our data infrastructure. You'll work with modern data engineering technologies and cloud platforms to build scalable ETL pipelines, optimize data processing workflows, and ensure data quality and reliability across our systems. This role extends significantly into the ML domain, where you'll be responsible for building and maintaining feature engineering pipelines that power various ML models across the organization. You'll work on real-time feature generation systems, deploy and maintain ML model infrastructure, and ensure seamless integration between data pipelines and ML workflows. Your work will directly impact model performance and enable data scientists to focus on model development rather than infrastructure concerns.