Sr. Data Engineer - FCP Tech

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