Data Engineer

FNZ

Microsoft fabric experience
Kafka connect sink connectors
Pyspark or spark sql proficiency
FNZ is seeking a hands-on Data Engineer to build and maintain the Analytical Warehouse on Microsoft Fabric for global wealth management clients

Job Summary

  • FNZ is seeking a hands-on Data Engineer to build and maintain the Analytical Warehouse on Microsoft Fabric for global wealth management clients.
  • The role involves developing data pipelines that ingest enriched Gold-layer data from streaming platforms into OneLake using Kafka and Delta formats.
  • Candidates will implement robust data quality checks, optimize query performance, and manage CI/CD pipelines using GitHub Actions.

Matching Summary

FNZ is seeking a hands-on Data Engineer to build and maintain the Analytical Warehouse on Microsoft Fabric for global wealth management clients.

Skills & Requirements

Must-have

  • Microsoft Fabric experience
  • Kafka Connect sink connectors
  • PySpark or Spark SQL proficiency
  • Delta Lake table format knowledge
  • SQL-based transformation frameworks
  • OneLake storage management
  • CI/CD pipeline implementation

Nice-to-have

  • Wealth Management domain knowledge
  • Apache Iceberg table format experience
  • Great Expectations or Soda integration
  • Semantic layer tool familiarity
  • Data catalog and lineage tools
  • Microsoft Fabric certifications
  • Azure Data Engineer certification DP-203

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 4+ years of hands-on data engineering experience
  • Strong SQL skills with complex analytical queries
  • Experience with Azure Synapse Analytics or Data Factory

Work Rights

Not specified

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