GCP Data Engineer

We are seeking a highly skilled Data Engineer to engineer and deliver domain- aligned data products within a centrally governed Microsoft Data Platform. Working within established standards, CI/CD templates, and defined data contracts, the Data Engineer will modernize SQL-driven legacy workloads and re-engineer them into scalable Spark-based Lakehouse datasets and semantic models. The focus is on execution: extracting embedded business logic from on-prem SQL systems, implementing robust data pipelines, and delivering reliable, high-quality data products that support analytics, reporting, and AI use cases. Data products are treated as managed assets — version-controlled, tested, monitored, and continuously improved to meet defined quality and performance expectations. Key Responsibilities SQL Modernization & Legacy Refactoring  Maintain and enhance existing SQL Server workloads (stored procedures, views, ETL processes).  Design and optimize semantic models in Fabric for enterprise analytics.  Engineer star schemas and dimensional models for high-performance Power BI reporting.  Refactor legacy SSAS logic into scalable semantic layers.  Ensure validated KPIs and business rules are consistently implemented.  Balance performance, usability, and maintainability in semantic design. Data Product Ownership  Engineer data products that are reliable, discoverable, and consumption ready. Core skills and knowledge  7+ years of hands-on experience in data engineering within SQL-heavy or enterprise data environments.  Hands-on experience with Spark (PySpark preferred) for distributed data transformation, Python notebooks.  Solid understanding of dimensional modeling, including star schema and Kimball-based methodologies.  Experience in Azure Data Factory, Databricks, MS Fabric, ADLS Gen2 , Databricks , Spark , Airflow, purview Desirable Skills  Any financial services / banking / capital market experience Leadership and Communication Skills  Excellent facilitation and presentation skills with the ability to lead architecture forums and stakeholder meetings.  Strong influencing skills to drive adoption of architectural standards and modern technologies.

Preferred Qualifications  Microsoft Certifications (Azure Data Engineer, Fabric).  Experience in distributed data processing environments.