Advisory-MC-Global Data Engineer-Manager

We are seeking a highly skilled Global Data Engineer at the Senior Associate level to support our domestic Digital Finance Transformation team. The ideal candidate will possess advanced expertise in SQL, Alteryx, Power BI, and Python, along with strong experience in current finance use cases and leading practices related to artificial intelligence (AI) and machine learning (ML). This role will focus on building robust data pipelines, developing analytics and reporting solutions, and integrating AI/ML models to drive business insights and process automation.

Key Responsibilities

• Collaborate closely with the stateside Digital/Finance Transformation team to understand business requirements and deliver data-driven solutions.
• Design, develop, and maintain ETL/ELT pipelines using SQL and Alteryx for data ingestion, transformation, and integration from multiple sources.
• Cleanse, structure, and transform large data sets from various sources (e.g., ERPs, APIs, cloud data lakes).
• Build and optimize data models and data warehouses to support analytics, reporting, and machine learning workflows.
• Develop, publish, and maintain interactive dashboards and reports in Power BI for finance and business stakeholders.
• Integrate machine learning models into data pipelines for real-time or batch inference.
• Integrate data quality, integrity, and security concepts across all data assets and processes.
• Automate data processes and workflows to improve efficiency and scalability.
• Document data engineering processes, data flows, and AI/ML model integration.
• Translate business requirements into technical solutions and deliverables.

Follow best practices in data security, data governance, privacy, and compliance.

Education

• Bachelors or masters degree in computer science, Data Science, Engineering, or related field (preferred).

Experience & Skills

• Advanced proficiency in SQL for data extraction, transformation, and analysis.
• Hands-on experience with Alteryx for ETL/ELT workflows and data automation.
• Strong expertise in Power BI for data visualization, dashboard development, and report publishing.
• Strong expertise in Python, including data integration and analysis (preferred).
• Solid understanding of AI and machine learning concepts and leading practices.
• Experience with machine learning frameworks, data modeling, warehousing, and relational databases.
• Excellent problem-solving, analytical, and communication skills; comfortable working across time zones in a collaborative, fast-paced virtual environment.