problems. -Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: -Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency. -Design and develop ETL pipelines and workflows for data preprocessing. -Develop automated tests to validate the processes and models you create. Collaboration & Communication More ❯
front-end features using modern JavaScript frameworks and libraries. Collaborate with UX/UI designers and stakeholders to create seamless user experiences. Optimise performance, accessibility, and cross-browser compatibility. Contribute to the evolution of our architecture. Participate in product design discussions, providing technical insights and feasibility assessments. Implement and maintain … technologies. Familiarity with cloud platforms and their services (AWS or Azure). Experience with NoSQL and/or graph databases. Strong understanding of web accessibility standards and best practices. Experience with state management libraries and architectures. Have worked on performance and scalability solutions. Knowledge of testing methodologies and automation practices. More ❯
AOE level. Data Engineering & Infrastructure: Oversee the design, development, and maintenance of data pipelines, integrations, and ETL processes to ensure efficient data flow and accessibility for analytics use cases. Collaboration & Stakeholder Management: Act as the key connection between AOE D&A and PNE, facilitating knowledge-sharing, alignment, and implementation of … optimize the data infrastructure, ensuring performance, scalability, and cost efficiency. Metadata & Asset Management: Drive consistent metadata management and data asset governance, ensuring data reliability, accessibility, and standardization across PNE. Enablement & Best Practices: Educate and support the PNE teams in data stewardship best practices, ensuring they effectively leverage governed data assets More ❯
