Join a world-class technology consultancy as an Analytics Engineer
Turn raw data into meaningful, well-structured insights that drive better decisions
Build robust data models and create well-governed data layers
Explore embedding AI across analytics workflows to automate repetitive work
Design and maintain clean, well-structured data models that support analytics
Write efficient SQL to transform raw data into business-ready datasets
Understand key business questions and ensure data is modeled effectively
Explore embedding AI within analytics workflows
Contribute to data quality, testing, and documentation while applying best practices

SQL-first mindset : Strong, instinctive use of SQL to solve complex data problems and build transformations
Data transformation frameworks : Proven experience building data models using dbt, SQLMesh, or similar transformation frameworks
Data architecture understanding : Solid grasp of data architecture and how different layers of the data stack fit together
Data modeling expertise : Strong skills with appreciation for trade-offs between performance, simplicity, and flexibility
Cloud data warehouse experience : Hands-on work with platforms like Snowflake, BigQuery, or Redshift on large-scale datasets
Business-driven approach : Genuine interest in how data drives business outcomes, not just technical implementation
Stakeholder collaboration : Ability to work closely with business users to understand questions and model data effectively
Best practices application : Experience applying data modeling best practices while making pragmatic real-world trade-offs
Data quality focus : Contribution to improving testing, documentation, and data quality across analytics layers
Collaborative mindset : Friendly, collaborative approach with willingness to share ideas and learn from others
Language requirement : Fluent English (mandatory)

Senior Analytics Engineer, dbt, SQL, AI

Key skills