Data Engineer (Analytics & Data Platform)

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ingestion frameworks.
• Integrate and consolidate data from multiple SaaS applications, APIs, and operational systems.
• Develop and maintain Microsoft Fabric Lakehouse, Warehouse, Dataflow, and Pipeline solutions.
• Transform and model raw data into trusted, reporting-ready datasets.
• Build and optimise semantic models that power business-critical Power BI reporting.
• Collaborate with stakeholders to define KPIs, reporting requirements, and analytics solutions.
• Identify and resolve data quality, reconciliation, and consistency challenges.
• Lead technical and architectural decision-making across complex data initiatives.
• Monitor, optimise, and improve pipeline performance, reliability, and scalability.
• Promote best practices in data governance, modelling, and analytics architecture.