Analytics Engineer
Posted Updated 5
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Summary
Build and maintain analytics-ready datasets, design data models, and develop ETL/ELT pipelines to support Power BI reporting, using SQL, Azure, Synapse Analytics, and Microsoft Fabric.
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.