Analytics Engineer (Mid-level)

Analytics Engineer (Mid-level)

Full-Time 45000 - 55000 ÂŁ / year (est.) No home office possible
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Zaha Hadid Architects

At a Glance

  • Tasks: Transform raw data into actionable insights and develop scalable data pipelines.
  • Company: Join Zaha Hadid Architects, a leader in innovative architecture and design.
  • Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
  • Why this job: Make a real impact by leveraging data to drive creative and operational excellence.
  • Qualifications: 2+ years in analytics or data engineering; strong skills in Azure, Python, and SQL.
  • Other info: Collaborative environment with a focus on continuous learning and innovation.

The predicted salary is between 45000 - 55000 ÂŁ 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.

Your profile

  • 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.

Skills Required

  • 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.

About Us

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) 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 firm, ZHA reinvests in its people, ensuring a supportive environment that values creativity and sustainability.
Zaha Hadid Architects

Contact Detail:

Zaha Hadid Architects Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Engineer (Mid-level)

✨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

Show off your skills! Prepare a portfolio showcasing your previous projects, especially those involving data pipelines and analytics. When you get the chance to chat with the team, having tangible examples will help you stand out.

✨Tip Number 3

Be ready to discuss your problem-solving approach. During interviews, they’ll want to know how you tackle complex data challenges. Think of specific examples where you’ve turned raw data into actionable insights and be ready to share!

✨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)

ELT/ETL Pipelines
Azure Data Factory
Databricks
Python
SQL
Spark
Data Modelling
Data Quality Assurance
Data Governance
Unity Catalog
Data Migration
Version Control
AI/ML Workflows
Communication Skills
Collaboration

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, Databricks, 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 solve real business problems. Share specific examples of your work that demonstrate your proactive approach and attention to detail.

Showcase Your Technical Skills: Don’t shy away from listing your technical skills! Mention your proficiency in Python, SQL, and Spark, and any experience with AI/ML workflows. We want to see how you can contribute to our data ecosystem.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!

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 specific about the problems you faced, the solutions you implemented, and the impact your work had on the business.

✨Emphasise Collaboration

Since this role involves working with various teams, think of instances where you successfully collaborated with others. Highlight your communication skills and how you’ve made technical concepts accessible to non-technical stakeholders.

✨Demonstrate Continuous Learning

Express your passion for data and analytics by discussing any recent courses, certifications, or projects you've undertaken. Show that you're committed to staying updated with industry trends and best practices in data engineering and analytics.

Analytics Engineer (Mid-level)
Zaha Hadid Architects
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