Data & Analytics Engineer

Data & Analytics Engineer

Full-Time 50000 - 65000 £ / year (est.) Home office (partial)
Buro Happold Limited

At a Glance

  • Tasks: Design and build data platforms for smarter decision-making in engineering.
  • Company: Join Buro Happold, a leader in digital transformation and sustainability.
  • Benefits: Enjoy hybrid working, competitive salary, 25 days holiday, and flexible benefits.
  • Other info: Be part of a diverse team committed to innovation and continuous development.
  • Why this job: Make a real impact while developing your skills in a supportive environment.
  • Qualifications: 3–6 years in Data Engineering, strong PowerBI and SQL skills required.

The predicted salary is between 50000 - 65000 £ per year.

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.

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 PowerBI 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.

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 PowerBI 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.
  • Interest in AI, machine learning, or emerging data technologies.
  • Experience supporting user adoption, training, or analytics enablement initiatives.

Why Join Buro Happold?

At Buro Happold, we believe in creating a better, more sustainable world. You’ll be part of a team that values innovation, collaboration, and excellence. We offer a supportive environment where your contributions make a real difference.

What We Offer You

  • 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 – learning and development programmes for all career stages.
  • Entitlement to two memberships to professional bodies or subscriptions.
  • A commitment to your wellbeing through a comprehensive employee assistance programme and wellbeing activities.
  • A supportive and inclusive environment that welcomes you through social and outreach activities, mentoring and a Young Employees Forum.

Equality, Diversity and Inclusion

Buro Happold values diverse perspectives and is committed to equality, diversity and inclusion. We encourage applications from all backgrounds, including under‑represented groups, and strive to support flexible working patterns to enable a healthy work‑life balance.

Contact recruitment@burohappold.com if you need adjustments to the application process to make it easier and more comfortable for you.

Data & Analytics Engineer employer: Buro Happold Limited

Buro Happold is an exceptional employer that champions innovation and collaboration, making it a prime choice for Data & Analytics Engineers looking to make a meaningful impact. With a strong commitment to employee development, flexible working arrangements, and a supportive culture that values diversity and inclusion, you'll thrive in an environment where your contributions are recognised and rewarded. Join us in our mission to create a better, more sustainable world while enjoying a comprehensive benefits package and opportunities for professional growth.

Buro Happold Limited

Contact Details:

Buro Happold Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & Analytics Engineer

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We think you need these skills to ace Data & Analytics Engineer

Data Engineering
Analytics Engineering
Data Pipeline Design
Data Modelling
PowerBI Expertise
DAX
SQL

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