business intelligence analytics engineer.

Role Overview: Working within a team of professionals, the Business Intelligence Analytics Engineer will create and manage BI and analytics solutions within a Data Lakehouse that will be used to visualise information and support analytical needs in the various organisational areas within the Department.

Key responsibilities:

• Design, develop, and maintain data models in dbt for structured, scalable analytics using Data Vault 2.0 methods.
• Build and optimise data pipelines.
• Work closely with data platform engineers, analysts, and business stakeholders to improve data accessibility and usability
• Optimise queries for performance and efficient creation of data products
• Implement best practices for data quality monitoring and automation

Essential requirements:

• 2+ years of Databricks experience
• Demonstrated experience in analytics engineering, data engineering, or BI development
• Understanding of data modelling, governance, and performance optimisation
• Excellent communication and team skills.
• Experience in Azure and an understanding of modern data platforms
• Analytical mind with a problem-solving aptitude.

Desirable requirements:

• Data engineering capability
• Experience working in Databricks, including using Python.
• Understanding of Data Lakehouse principals.
• Experience in Data Vault 2.0 modelling methods
• Experience work in Agile teams.
• Microsoft Power BI experience using DAX, Power Query.
• Development of Azure Data Factory pipelines, mapping, and wrangling dataflows.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.