UBDS

Data Engineer

• Help translate business problems into data, analytical and technical tasks with support from senior colleagues.
• Design, build and maintain data pipelines, models and products using SQL, Python and modern data engineering tools.
• Work with data warehouses, lakehouse platforms and event-driven patterns, including building semantic models for analytics and visualisation.
• Contribute to solutions built on cloud data and AI platforms (AWS/Azure), following good software engineering, testing and CI/CD practices.
• Apply analytics, experimentation, AI/ML integration, governance, security and data quality practices as part of delivery teams.
• Create clear data visualisations and explanations that help users understand and act on insights.
• Work closely with users and stakeholders in Agile, client-driven environments, learning from live services and user feedback.
• Follow relevant industry and government standards and contribute to solutions that are well documented, maintainable and easy to hand over.

• Turn ambiguous business problems into clear data, analytical and technical solutions.
• Design, build and operate production-grade data pipelines, models and products using SQL, Python and modern data engineering frameworks.
• Architect and work across data warehouses, lakehouse and event-driven patterns, including strong semantic models for analytics and visualisation.
• Deliver solutions on cloud data and AI platforms (AWS/Azure), applying solid software engineering, testing and CI/CD practices.
• Embed analytics, experimentation, AI/ML integration, governance, security and data quality best practices by default.
• Create clear data visualisations, narratives and consultant-grade materials that help clients understand and act on insight.
• Work closely with users and stakeholders in Agile, client-driven environments, learning from live services and real-world feedback.
• Apply strong critical thinking, attention to detail and relevant industry and government standards to deliver solutions that are easy to hand over, maintain and evolve.

Senior Data Engineer

Cloud Engineer

• Design and review cloud architectures using AWS best practices, ensuring alignment with client goals and compliance frameworks.
• Support technical leadership across project lifecycles, from inception to deployment.
• Support architecture governance, including assurance reviews and architectural decision records.
• Identify opportunities for innovation, including automation, AI integration, and cloud cost optimisation.
• Engage with stakeholders to shape cloud strategies and technical roadmaps.
• Lead architecture and discovery workshops with technical and non-technical audiences.
• Contribute to the continuous improvement of architectural standards and reusable patterns.
• Ensure designs meet security and compliance requirements, including ISO 27001, ISO 9001, ISO 20000, ISO 22301, and Cyber Essentials Plus.
• Collaborate with delivery teams to guide implementation and maintain architectural integrity.

Data Engineer

Senior Data Engineer

Cloud Architect – AWS