About the Role: We are seeking an experienced Analytics Engineer to help design and scale a modern data platform for a global organisation. This role is ideal for someone passionate about building robust data architectures, enabling actionable insights, and driving analytics maturity across the business.
Enjoy owning the full analytics workflow from raw ingestion to dashboards.
Value clean, documented, and tested data models.
Have a product mindset and embrace stakeholder feedback.
Stay current with modern data tooling and best practices.
Key Responsibilities:
Design and maintain scalable data warehouse architecture using the Medallion model (Bronze/Silver/Gold layers).
Build, test, and deploy dbt/dataform models with reusable SQL-based transformations.
Develop and optimise BI dashboards and data products using Tableau, translating business needs into visual insights.
Orchestrate and monitor data pipelines, ensuring data quality and timely delivery.
Implement data quality checks, observability, and maintain data cataloging and lineage.
Drive CI/CD practices using GitHub Actions or similar tools.
Collaborate with cross-functional teams to improve platform capabilities and analytics maturity.
Requirements:
Proven experience in BigQuery and dbt/dataform for data warehousing and transformation.
Strong SQL skills and understanding of modern data architecture principles.
Hands-on experience with Tableau for enterprise-grade dashboard development.
Familiarity with orchestration tools (e.g., Prefect, Airflow), data quality frameworks, and metadata tools.
Proficiency in Git, CI/CD, and scripting with Python.
Excellent communication skills and ability to work collaboratively across technical and business teams.
