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.