Sr AI Data Engineer

Required Skills & Experience

• • 7+ years of experience in Data Engineering.
  • Minimum 3 years of hands-on experience with Databricks.
  • Strong hands-on experience with:
  • PySpark
  • Delta Lake
  • Databricks Workflows
  • Unity Catalog
  • Strong SQL development and optimization skills.
  • Strong experience in dimensional data modelling and star schemas.
  • Hands-on experience with Slowly Changing Dimensions (SCD).
  • Experience building production-grade data ingestion and transformation pipelines.
  • Experience integrating multiple enterprise source systems, preferably ERP, planning and HR systems.
  • Hands-on experience integrating Databricks with Microsoft Fabric.
  • Good understanding of:
  • Microsoft OneLake
  • Fabric Lakehouses
  • OneLake shortcuts
  • Proven hands-on experience building LLM/AI agents using Python.
  • Proven hands-on experience building MCP servers using Python in a real-world project.
  • Understanding of secure and governed access for AI agents and tools.
  • Strong understanding of data quality, reconciliation, lineage and data governance. Ability to work with business and technical stakeholders to translate requirements into data solutions.

Strongly Preferred Skills

• • Experience in Finance, FP&A or financial data engineering.
  • Strong understanding of:
  • GL structures
  • Budgets
  • Forecasts
  • Estimates
  • Allocations
  • Cost centres
  • Financial planning scenarios
  • Experience with TBM (Technology Business Management) classification or similar financial classification frameworks.
  • Experience building AI-powered data engineering or ingestion solutions.
  • Experience with agentic workflows for data mapping, classification and anomaly detection.
  • Experience with additional LLM frameworks such as LangChain, LangGraph or similar.
  • Experience with enterprise AI governance and secure AI/data access.
  • Experience with Databricks data governance and lineage.
  • Experience implementing automated data reconciliation and financial controls.
  • Experience working with Microsoft Fabric-based enterprise analytics environments.