Sorry, no jobs matched your search criteria.
However, here are some other roles you might find interesting.
Design and build data pipelines and APIs while maintaining business-critical applications in Python and TypeScript. Work across Google Cloud, BigQuery, and MongoDB to automate processes and improve data quality. Collaborate with stakeholders to translate business needs into technical solutions and enhance system reliability.
Design and build data pipelines, APIs, and backend services using Python and AWS, with a focus on integrating machine learning models into production. Work with complex datasets and cloud infrastructure to deliver data-driven insights. Collaborate in an Agile environment using CI/CD, Git, and modern software engineering practices.
The Lead Data Engineer will develop, maintain, and quality assure numerical models for calculating pEPR fees and producer payments. They will lead the data strategy, ensuring robust and transparent processes, and collaborate across teams to support decision-making and policy development.
The role involves defining and maintaining enterprise data architecture standards, ensuring compliance through governance, and supporting strategic planning and change initiatives. You'll work across cloud and on-premise platforms, engaging with stakeholders and guiding data capabilities using modern technologies. The position requires strong technical leadership, experience in data governance, and collaboration within a regulated environment.
This role involves leading the design and delivery of enterprise-grade software and data platforms using Python, C#/.NET, and modern data technologies. The engineer will drive technical strategy, modernize legacy systems, and deliver scalable data solutions across cloud and on-prem environments. Collaboration with data, analytics, and architecture teams is key to enabling robust, secure, and high-performance systems.
