
Analytics Engineer, Mid-level
Zaha Hadid Architects
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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About the role
- 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
- Hybrid working
- Continuous improvement and learning opportunities
- Knowledge sharing and collaboration
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ELTETLAzure Data FactoryDatabricksPythonSQLSparkdata modelingdata validationdata governance
Soft Skills
collaborationcommunicationproblem-solvingattention to detaildocumentation
Certifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in Data EngineeringBachelor’s Degree in Information Systems