AI Data Engineer

Overview

Imagine stepping into a role where your technical expertise directly shapes the future of data management and intelligent automation 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, empowering teams to operate with unprecedented agility and strategic insight.

About the Opportunity

We are partnering with Aquent to find an exceptional technology professional to join a world-renowned technology pioneer. This organization is dedicated to pushing the boundaries of what is possible, and 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 that drive strategic planning across the global enterprise.

How You Will Make an Impact

In this high-impact role, you will collaborate with cross-functional teams to design, build, and maintain interactive dashboards and innovative AI use cases. You will leverage cutting-edge generative AI technologies to solve real-world business challenges, translating complex business needs into robust technical solutions and executive-ready visuals. Your work will directly optimize workflows, baseline manual efforts, and introduce sophisticated automation that saves thousands of hours and elevates data integrity.

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.