Senior Data Engineer

Overview

In this role you design and build data platforms that enable smarter decision-making across Buro Happold’s global engineering practice. You’ll fuse modern data engineering with business intelligence, delivering scalable pipelines and insightful reporting while promoting governance and self-service analytics. You join a digital transformation journey that values collaboration, impact, and knowledge sharing across disciplines. This is a chance to shape data-driven decisions on major engineering projects at a respected consultancy.

Pay / Benefits

• hybrid working
• competitive salary
• 25 days holiday + flexible holidays
• pension scheme
• flexible benefits (cycle scheme, dental, optical, travel insurance, season ticket loans, corporate discounts)
• enhanced parenthood leave policies

Responsibilities

• Design, build, and maintain scalable data pipelines using lakehouse and medallion architecture
• Integrate data from project systems, engineering tools, databases, and APIs
• Ensure data quality, governance, lineage, and documentation across the platform
• Collaborate with IT and platform teams to optimise cloud-based data infrastructure
• Develop and maintain Power BI dashboards and reporting solutions
• Own the full reporting lifecycle from requirements to deployment and adoption
• Implement semantic models, governance, security, and workspace management
• Support transition from traditional reporting to scalable self-service analytics
• Contribute to AI-enabled initiatives by integrating data outputs into governed reporting environments
• Build reusable data assets to support knowledge sharing and organisational learning
• Support workflow automation by ensuring engineering outputs are captured and accessible
• Partner with engineers, project managers, and leaders to translate data challenges into solutions
• Promote a data-driven culture through knowledge sharing, training, and mentoring
• Support analytics capability growth across the business

Key requirements

• 3–6 years’ experience in Data Engineering, Analytics Engineering, or similar
• Experience designing and developing modern data pipelines and data models
• Strong Power BI expertise including data modelling, DAX, dashboards, and workspace management
• Excellent SQL skills and experience with Python and/or PySpark
• Experience with cloud data platforms such as Microsoft Fabric, Azure Data Factory, Synapse, Databricks or similar
• Knowledge of data governance, quality management, and documentation best practices
• Experience using Git and modern development practices including CI/CD
• Ability to communicate technical concepts clearly to technical and non-technical audiences

• communication
• mentoring
• collaboration
• Power BI
• SQL
• Python

…