YOUR IMPACT:
As a Sr. Data Engineer, you will support our business lines, clients and investment decisions by:
- Design and develop AI-assisted data pipelines, semantic models, and Power BI reports to support investment decisions and operations
- Build, automate, and maintain data ingestion pipelines using Microsoft Fabric Data Factory and Python
- Develop automated financial data analysis workflows and reporting solutions that leverage AI and machine learning capabilities
- Integrate and govern disparate financial and operational data sources within FCP's Microsoft Fabric lakehouse environment
- Lead data quality, reconciliation, and lineage initiatives across investment, financial, and asset management datasets
YOUR QUALIFICATIONS:
- Bachelor's degree or advanced degree in Engineering or Computer Science with excellent academic credentials
- Minimum of 4 years of relevant work experience
- Minimum of 2 years of experience building and deploying data engineering solutions on cloud platforms (Azure preferred)
- Minimum of 2 years of relevant data analytics work experience
- Minimum of 2 years of experience with python and associated data libraries
- Minimum of 2 years of experience with databases & queries
- Ability to analyze qualitative and quantitative information and translate into strategic deliverables
- Ability to work independently and within a team
- Experience working in Microsoft Azure and/or Microsoft Fabric; familiarity with AI services such as Azure OpenAI strongly preferred
- Excellent written and oral communication skills
- Experience in presenting ideas and analysis to groups and leadership
- Motivated self-starter with effective time management skills and strong attention to detail
- A desire to work within a fast-paced, collaborative, and entrepreneurial environment
- Experience or previous interest in Real Estate strongly preferred
- Required Technical Skills:
- Excel (Complex Formulas, PivotTables, Formatting)
- Microsoft Fabric (Lakehouse, Data Factory, Notebooks)
- Python
- SQL
- Power BI & DAX
- Preferred Technical Skills:
- Azure OpenAI & AI Services
- Databricks
- JavaScript/HTML/CSS
- LangChain or other AI/LLM orchestration frameworks
- Financial Modeling
