Build, enhance, and support scalable data solutions on Azure, including data pipelines, transformations, and trusted datasets for reporting and analytics.
Responsibilities
Develop and maintain data ingestion pipelines using Azure Data Factory
Integrate data from SAP, databases, APIs, flat files, and cloud applications
Implement incremental and CDC-based data loading patterns
Troubleshoot data integration and pipeline issues
Develop PySpark and SQL-based transformations in Azure Databricks
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
Senior Azure Data Engineer responsible for building and maintaining data products on Microsoft Data Platform, including Azure Data Factory, Databricks, Fabric, and Azure Analysis Services.
Responsibilities
Build and maintain ADF, Databricks and Azure Analysis Services cubes
Develop ingestion and transformation pipelines using Spark (PySpark)
Implement incremental loading and CDC patterns
Optimize Delta tables for performance and cost
Ensure datasets align with data contracts and platform standards
Requirements
Bachelor’s degree in computer science or related field
Engineering graduate or Postgraduate from a recognized College / University
Nice to have: Microsoft certifications (Azure Data Engineer, Fabric)
Nice to have: AI/ML data preparation workflows
Nice to have: Financial services / banking / capital market experience
Support reporting, analytics, regulatory requirements and business decision-making across the organisation by developing data models and pipelines on a modern cloud data platform.
Responsibilities
Analyse complex insurance datasets across policy, claims, underwriting, finance and regulatory domains
Develop logical and physical data models to support reporting, analytics and operational processes
Define, document and maintain business and technical data definitions
Conduct data investigations and root‑cause analysis to identify issues and support remediation
Perform source‑to‑target mapping and validate transformation logic across multiple systems