AI Data Engineer

Overview

We are partnering with Aquent to find an exceptional technology professional who will play a pivotal role in shaping the future of data management and reporting for a leading global technology company. In this dynamic position, you will have the unique opportunity to drive innovation by transforming manual processes into sophisticated, AI-powered solutions. Your expertise will directly impact operational efficiency, data accessibility, and strategic decision-making across the organization, empowering teams to operate with unprecedented agility and insight.

The Opportunity

Step into a high-impact role where you will be at the heart of modernizing data workflows and integrating disparate data sources into a single, governed source of truth. By building advanced AI and automation solutions, you will help enhance data quality, accelerate reporting cycles, and introduce natural-language data interaction capabilities. This is an incredible opportunity to leverage cutting-edge generative AI technologies to solve real-world business challenges, collaborate with cross-functional teams, and deliver executive-ready visuals that drive strategic planning.

Key Responsibilities

• Assess current workflows, baseline manual efforts, and identify high-impact opportunities for automation.
• Integrate data from collaboration platforms, development operations tools, advanced spreadsheets, and databases into a unified, governed source of truth with automated refresh and data-quality checks.
• Design, build, and maintain interactive dashboards and innovative AI use cases, including change summaries, data reconciliation, natural-language Q&A, and report automation.
• Document technical solutions, train end-users, and track key impact metrics such as hours saved, cycle-time reduction, and data quality improvements.

Must-Have Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (or equivalent professional experience).
• 4+ years of experience in data engineering, business intelligence, or analytics automation.
• 2+ years of hands-on experience building production generative-AI solutions using tools such as Copilot Studio, Azure OpenAI, AI Builder, or Microsoft 365 Copilot.
• Advanced expertise in Power BI, including data modeling, DAX, Power Query (M), data refresh, deployment, and row-level security.
• Proficiency with Azure DevOps queries, Analytics/OData, REST APIs, Power Automate, SharePoint Online, advanced Excel, SQL, and Python.
• Excellent communication skills with the ability to translate complex business needs into robust technical solutions and executive-ready visuals.
• Demonstrated experience leveraging AI to optimize workflows, with the readiness to showcase a live demo of a past AI-driven workflow improvement project during the interview process (excluding confidential information).

Nice-to-Have Qualifications

• Experience working with hardware, supply-chain, or product roadmap and portfolio data.
• Familiarity with Microsoft Fabric, Dataverse, KQL, Power Platform ALM, and Git.
• Professional certifications in Power BI, Fabric, Power Platform, or Azure AI.
• Prior experience working with leading global technology companies.