At a Glance
- Tasks: Design and build data platforms for smarter decision-making in engineering.
- Company: Join Buro Happold, a leader in engineering innovation.
- Benefits: Hybrid work, competitive salary, 25 days holiday, and flexible benefits.
- Other info: Inclusive culture with a commitment to your continuous development.
- Why this job: Shape the future of engineering with cutting-edge data solutions.
- Qualifications: 3-6 years in Data Engineering, strong Power BI and SQL skills.
The predicted salary is between 50000 - 65000 £ per year.
Build the Data Foundations Shaping the Future of Engineering. Join Buro Happold as a Data & Analytics 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.
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
- 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.
- 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.
- 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.
- 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 within engineering consultancy, AEC, or professional services environments.
- Exposure to orchestration tools such as Airflow, Prefect, or Azure Data Factory.
- An interest in AI, machine learning, or emerging data technologies.
- Experience supporting user adoption, training, or analytics enablement initiatives.
Why Join Buro Happold?
We believe in creating a better, more sustainable world. You'll be part of a team that values innovation, collaboration, and excellence.
What We Offer
- Hybrid working arrangements.
- Attractive salary and benefits package.
- Holiday entitlement of 25 days per annum (exclusive of bank holidays) and flexible holiday arrangements.
- Generous company pension scheme.
- Flexible benefits including cycle scheme, dental insurance, optical cover, travel insurance, season ticket loans, and corporate discounts.
- Enhanced parenthood leave policies.
- 3pm finish on the last Friday of the month.
- A strong commitment to your continuous development.
- Entitlement to two memberships to professional bodies or subscriptions.
- A commitment to your wellbeing through a comprehensive employee assistance programme and wellbeing activities.
- International culture and inclusive environment welcoming diverse backgrounds, identities, and experiences.
Apply Now
We value individuals' flexible approaches to working patterns and welcome applications from those seeking flexibility in their careers. Please let us know if there are any adjustments we could make to the application process to make it easier and more comfortable for you.
Data & Analytics Engineer in Bath employer: Buro Happold
Buro Happold is an exceptional employer that champions innovation and collaboration, offering a hybrid working model across its Bath, Leeds, Manchester, and London offices. With a strong commitment to employee development, generous benefits including a 25-day holiday entitlement, and a vibrant, inclusive culture, Buro Happold empowers its team members to thrive in their careers while contributing to meaningful projects that shape the future of engineering.
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