At a Glance
- Tasks: Transform raw data into actionable insights and develop scalable data pipelines.
- Company: Join Zaha Hadid Architects, a leading architectural studio redefining design for the 21st century.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment focused on continuous improvement and innovation.
- Why this job: Make a real impact by leveraging data to drive creative and operational excellence.
- Qualifications: 2+ years in analytics engineering with skills in Azure, Python, SQL, and data modelling.
The predicted salary is between 45000 - 55000 £ per year.
Zaha Hadid Architects is evolving its data capabilities to support world‑leading design, project delivery and decision‑making. We are seeking an Analytics Engineer to help advance the practice’s data ecosystem by transforming raw information into well‑modelled, actionable datasets that empower our teams to explore, analyse and innovate.
Working at the intersection of data engineering and analytics, you will develop the pipelines, transformations and models that underpin our modern lakehouse platform; enabling advanced reporting, data visualisation, digital tools and emerging AI workflows. You will collaborate with teams across the business, helping to make their data more accessible, reliable and impactful. This role is an opportunity to help define how a leading practice leverages data: creating clarity, consistency and confidence in the information that drives both our creative and operational excellence.
Main Responsibilities- Develop and maintain scalable ELT/ETL pipelines in Azure Data Factory and Databricks, supporting both existing and new data sources.
- Build, refine and optimise transformation logic using Databricks notebooks, Python, SQL and Spark.
- Model data across Bronze, Silver and Gold layers to ensure structure, consistency and clarity.
- Collaborate with colleagues across architecture, finance, operations, and technology to understand data needs and translate them into well‑designed models and solutions.
- Ensure data quality through validation, testing and clear documentation.
- Implement data governance controls and access policies with Unity Catalog.
- Support business‑critical system transformations by managing data migrations and ensuring data quality and continuity.
- Champion best practices in data engineering, analytics, version control and development workflows.
- You are passionate about data and analytics, with a drive to solve real business problems with data.
- You are proactive, detail‑oriented and committed to continuous improvement and learning.
- You enjoy solving complex business challenges with data and are comfortable with ambiguity and change.
- You value clear documentation, knowledge sharing and collaboration.
- You can communicate complex technical concepts in a way that is accessible and relevant to business stakeholders.
- Bachelor’s Degree in Computer Science, Data Engineering, Information Systems or related STEM field.
- Minimum 2+ years’ experience in analytics engineering, data engineering or data platform development.
- Experience with Azure, Microsoft 365, Power Platform and Microsoft Graph API.
- Exposure to AI/ML workflows and understanding of data requirements for model training and deployment.
- Familiarity with Architectural, Design or Creative industries is a plus.
Zaha Hadid Architects (ZHA) redefined architecture for the 21st century with a repertoire of projects that have captured imaginations across the globe. Creating buildings uniquely tailored to the communities they serve, ZHA has been awarded the highest honours from professional and academic institutions worldwide. Founded by Zaha Hadid in 1979, ZHA is one of the world’s most consistently inventive architectural studios—and has been for four decades. These decades of pioneering research are inscribed within our architecture to become more spatially inventive, more structurally efficient, more technologically advanced, and more environmentally considerate with every new design. Combining innovative architectural solutions with ecologically sound materials and sustainable construction practices, we do not look at the disparate parts, but work to understand them as a whole to meet the aspirations of each new generation. As an employee‑owned business, we reinvest all profits back into our people and our company; continually enhancing our multidisciplinary research to address the challenges impacting communities around the world.
Analytics Engineer (Mid-level) in London employer: Zaha Hadid Architects
Zaha Hadid Architects is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to leverage data in transformative ways. With a commitment to continuous learning and professional growth, the company offers unique opportunities for analytics engineers to contribute to world-class architectural projects while enjoying the benefits of hybrid working arrangements. As an employee-owned business, ZHA reinvests in its people, ensuring a supportive environment that values creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer (Mid-level) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Zaha Hadid Architects on LinkedIn. Ask them about their experiences and any tips they might have for landing the Analytics Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss ELT/ETL pipelines, Azure Data Factory, and Databricks. We want to see you shine when it comes to showcasing your expertise!
✨Tip Number 3
Showcase your problem-solving skills! Be ready to share examples of how you've tackled complex data challenges in the past. This will demonstrate your ability to think critically and adapt to the dynamic environment at ZHA.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the ZHA team!
We think you need these skills to ace Analytics Engineer (Mid-level) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Analytics Engineer role. Highlight your experience with Azure, Python, SQL, and any relevant projects that showcase your data engineering prowess.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data and how you can contribute to our team. Share specific examples of how you've solved complex business problems with data in the past.
Showcase Your Collaboration Skills:Since this role involves working with various teams, mention any collaborative projects you've been part of. We love seeing how you communicate complex concepts to non-technical stakeholders!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at Zaha Hadid Architects
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like Azure Data Factory, Databricks, Python, SQL, and Spark. Brush up on your skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Be ready to explain your thought process and the impact your solutions had on the business. This will demonstrate your analytical mindset and ability to drive results.
✨Emphasise Collaboration
Since the role involves working with various teams, highlight your experience in cross-functional collaboration. Share specific instances where you’ve successfully communicated technical concepts to non-technical stakeholders, showcasing your ability to bridge the gap between data and business needs.
✨Prioritise Data Quality
Discuss your approach to ensuring data quality through validation, testing, and documentation. Be prepared to talk about any governance controls or access policies you've implemented in the past, as this shows your commitment to maintaining high standards in data management.