Analytics Engineer

Purpose:
Transform raw data into clean, structured, analytics-ready datasets that support business reporting and decision-making. This role bridges Data Engineering and Data Analytics.

Key Responsibilities:

• Build and maintain analytics-ready datasets.
• Design data models (fact and dimension tables).
• Develop ETL/ELT data pipelines.
• Deliver datasets for Power BI reporting.
• Ensure consistent business metrics and data definitions.
• Collaborate with stakeholders, analysts, and data teams.

Requirements:

• Relevant degree in Data Science, Computer Science, Information Systems, or related field.
• 5-8+ years' experience in Analytics Engineering, Data Engineering, or similar roles.
• Strong SQL and data transformation skills.
• Experience with Power BI datasets and reporting.
• Hands-on data modelling experience (Kimball, fact and dimension tables).
• Experience with Azure, Synapse, and Microsoft Fabric.

Key Skills:

• Data Modelling
• SQL
• Power BI
• Azure Data Services
• Synapse Analytics
• Microsoft Fabric
• ETL/ELT Development
• Business Requirements Analysis

Ideal Candidate: An experienced Analytics Engineer with strong SQL, data modelling, Power BI, and Microsoft data platform expertise, capable of building trusted datasets that drive business insights and reporting.