Key Responsibilities:
Job Experience and Skills Required:
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- Design and build scalable data pipelines and ingestion processes.
- Integrate data from multiple SaaS and operational platforms.
- Model and transform raw data into reliable, reporting-ready business datasets.
- Design and maintain Lakehouse and Warehouse structures in Microsoft Fabric.
- Build clean semantic models and reporting datasets that power Power BI dashboards.
- Work closely with stakeholders to define KPIs and reporting requirements.
- Identify and resolve data quality, consistency, and reconciliation issues.
- Drive technical and architectural decisions independently.
- Monitor and optimise pipeline performance and reliability.
- Contribute to best practices around data governance, modelling, and analytics architecture.
Job Experience and Skills Required:
- Bachelors degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
- 3-5 years of hands-on experience in data engineering or analytics engineering roles.
- Strong, production experience with Microsoft Fabric (Lakehouse, Warehouse, Dataflows, Pipelines, semantic models).
- Strong proficiency in SQL, including performance tuning and dimensional modelling.
- Strong proficiency in Python for data transformation, automation, and integration work.
- Solid experience with data warehousing and Lakehouse architectures.
- Experience integrating data from REST APIs and SaaS platforms.
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