About the role

  • Analytics Engineer improving data processes at Zaha Hadid Architects. Developing scalable ELT/ETL pipelines and collaborating across teams for data-driven decision-making.

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.

Requirements

  • 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.

Benefits

  • Professional development opportunities
  • Flexible working hours

Job title

Analytics Engineer – Mid-level

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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