What’s the Opportunity

Join our dynamic Digital Engineering team at Ridge as a Data Analyst / Engineer, where you'll play a pivotal role in transforming data into actionable insights that drive innovation across our projects. You'll work closely with multidisciplinary teams to develop and maintain robust data pipelines, implement advanced analytics, and support the integration of digital tools that enhance design, delivery, and operational efficiency. This is a unique opportunity to contribute to cutting-edge engineering solutions while shaping the future of data-driven decision-making in the built environment.

We operate an agile working policy, but please note this opportunity will require weekly attendance at a major project site on the outskirts of Oxford. We therefore will consider applicants within proximity to other regional offices (such as Bristol, Winchester, Reading, London, or Birmingham) subject to ability to travel to Oxford.

What you need to do to be effective in this role

• Develop, maintain, and optimise data pipelines to support digital workflows across engineering and design projects.
• Collaborate with multidisciplinary teams to understand data requirements and deliver tailored analytical solutions.
• Clean, transform, and analyse complex datasets to uncover trends, patterns, and opportunities for performance improvement.
• Design and implement dashboards and reporting tools that provide clear, actionable insights to stakeholders.
• Support the integration of BIM, GIS, IoT, and other digital technologies into data-driven project delivery.
• Ensure data quality, governance, and security standards are upheld throughout the lifecycle of engineering data.
• Contribute to the development of automation tools and scripts that streamline repetitive tasks and enhance productivity.
• Stay current with emerging data technologies and methodologies to continuously improve team capabilities.

Skills and experience you need to have for this role 

• Proven experience in data analysis, engineering, or a related field, ideally within the built environment or engineering sector.
• Strong proficiency in data tools and languages such as Python, SQL, Power BI, or similar platforms for data manipulation and visualization.
• Familiarity with cloud-based data environments (e.g. Azure, AWS, or Google Cloud) and version control systems like Git.
• Experience working with BIM, GIS, IoT, or other digital engineering technologies is highly desirable.
• Solid understanding of data governance, quality assurance, and security best practices.
• Ability to translate complex data into clear insights and communicate findings effectively to technical and non-technical stakeholders.
• Strong problem-solving skills and a proactive approach to identifying opportunities for automation and process improvement.
• Excellent collaboration and communication skills, with the ability to work effectively in multidisciplinary teams.