Senior Data Engineer

Build the Data Foundations Shaping the Future of Engineering. Join Buro Happold as a Senior Data Engineer.

This person can be based in our Bath, Leeds, Manchester or London office on a hybrid working model.  At Buro Happold, we're transforming how engineering knowledge, project intelligence, and AI-driven insights are captured, connected, and scaled across a global business. As part of our Design Technology team, we're looking for a Data & Analytics Engineer to help build the data infrastructure that powers the future of engineering.

If you're passionate about turning complex data into meaningful insights and want to see your work make a tangible impact on major engineering projects, we'd love to hear from you.

About

The Role As a Data & Analytics Engineer, you'll sit at the heart of Buro Happold's digital transformation journey, designing and building the data platforms that enable smarter decision-making across our global engineering practice. Combining modern data engineering with business intelligence development, you'll create scalable data pipelines, develop powerful reporting solutions, and help establish best practices for data governance, quality, and self-service analytics.

You'll work across a diverse range of systems and stakeholders, translating data from engineering, project management, and operational platforms into trusted, actionable intelligence.

Key Responsibilities:

Data Engineering & Platform Development Design, build, and maintain scalable data pipelines using modern lakehouse and medallion architecture principles.

Integrate and transform data from project systems, engineering tools, databases, and APIs.Ensure robust data quality, governance, lineage, and documentation standards across the platform.

Collaborate with IT and platform teams to optimise cloud-based data infrastructure.

Business Intelligence & Analytics Develop and maintain Power BI dashboards and reporting solutions that support operational and strategic decision-making.

Own the full reporting lifecycle, from requirements gathering and data modelling through to deployment and user adoption.

Implement best practices around semantic models, governance, security, and workspace management.

Support the transition from traditional reporting towards scalable self-service analytics.

Strategic Digital Transformation Contribute to AI-enabled initiatives by integrating data outputs into governed reporting environments.

Help build reusable data assets that support knowledge sharing and organisational learning.

Support workflow automation programmes by ensuring engineering outputs are captured, structured, and accessible.

Stakeholder Engagement & Enablement Partner with engineers, project managers, and business leaders to understand data challenges and develop impactful solutions.

Promote a data-driven culture through knowledge sharing, training, and mentoring.

Support the growth of analytics capability across the wider business.

About You:

Essentials:3–6 years' experience in Data Engineering, Analytics Engineering, or a similar role.

Proven experience designing and developing modern data pipelines and data models.

Strong Power BI expertise, including data modelling, DAX, dashboard development, and workspace management.

Excellent SQL skills and experience with Python and/or PySpark.

Experience working with cloud data platforms such as Microsoft Fabric, Azure Data Factory, Synapse, Databricks, or similar technologies.

Knowledge of data governance, quality management, and documentation best practices.

Experience using Git and modern development practices, including CI/CD.The ability to communicate technical concepts clearly to both technical and non-technical audiences.

Desirables:

Experience with in engineering consultancy, AEC, or…