Data Engineer

[…] Limited is seeking a highly skilled Data Engineer to engineer and deliver Finance (Capital & Tax) domain‑aligned data products within a centrally governed Microsoft Data Platform. You will modernize legacy SQL workloads into scalable Spark‑based Lakehouse datasets, manage ADF pipelines, Databricks notebooks, and Azure Analysis Services cubes, and ensure data products are version‑controlled, tested, monitored, and continuously improved.

• Build and maintain bronze, silver, and gold lakehouse layers in Microsoft Fabric and Databricks.
• Develop ingestion and transformation pipelines using notebooks and PySpark.
• Implement incremental loading and change data capture (CDC) from on‑prem SQL to Fabric/Databricks.
• Optimize Delta tables for performance and cost efficiency.
• Create and sustain Azure Data Factory pipelines and Azure Analysis Services cubes.
• Own data products as managed assets: version control, testing, monitoring, and continuous improvement.
• Ensure datasets comply with defined data contracts, governance, and platform standards.
• Collaborate with business stakeholders, analysts, and the central Data Platform team.
• Design and optimize semantic models for enterprise analytics platforms such as Power BI.
• Mentor junior engineers and champion architectural standards and modern technologies.

6+ years of hands‑on data engineering experience in SQL‑heavy or enterprise data environments. Deep expertise in Microsoft SQL Server and advanced T‑SQL developme