Data Engineer (Analytics & Data Platform)

Ready to take ownership of a high-impact data transformation initiative? Join a forward-thinking organisation where you'll play a pivotal role in building a modern analytics platform that consolidates data from multiple business-critical systems into a single source of truth. This is an opportunity for a skilled Data Engineer to work on complex, enterprise-scale challenges while leveraging cutting-edge Microsoft Fabric technologies to shape data-driven decision-making across the business.

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. Job Experience and Skills Required Education:

• Bachelor's Degree in Computer Science, Information Systems, Engineering, or a related field. • Relevant practical experience will also be considered. Experience:

• 5-7 years' experience in Data Engineering or Analytics Engineering roles. • Proven experience delivering production-grade solutions using Microsoft Fabric. • Strong background in data warehousing, Lakehouse architectures, and dimensional data modelling. • Experience integrating data from REST APIs, SaaS platforms, and operational systems. • Demonstrated ability to engage directly with business stakeholders and translate requirements into technical solutions. • Experience working independently in complex, fast-moving environments. Technical Skills:

• Microsoft Fabric (Lakehouse, Warehouse, Dataflows, Pipelines, Semantic Models). • Advanced SQL development, optimisation, and performance tuning. • Python for data engineering, automation, and integrations. • Power BI and semantic modelling. • Data warehousing and analytics architecture. • REST API integrations and SaaS connectivity. • Git version control and CI/CD workflows. Advantageous Skills:

• Azure Data Factory, Synapse Analytics, or Databricks.
• Data quality, observability, and reconciliation frameworks.
• Experience with platforms such as Zendesk, HubSpot, Zoho, Intercom, or Aircall.
• Exposure to dbt or other modern analytics engineering tools.

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