AI Data Engineer 1

Summary

This team is seeking an AI Data Engineer to modernize how roadmap and portfolio data is managed and reported. The contractor will use AI and automation to streamline workflows across SharePoint, Azure DevOps (ADO), Excel, and cross-organization databases, and replace manual, slide- and spreadsheet-based reporting with live Power BI dashboards.

Key Responsibilities

Assess current workflows, baseline manual effort, and prioritize automation opportunities by impact.
Integrate data from SharePoint, ADO, Excel, and cross-organization databases into a governed single source of truth, with automated refresh and data-quality checks.
Build and maintain the Power BI dashboards and AI use cases for change summaries, data reconciliation, natural-language Q&A, and report automation.
Document solutions, train users, and report impact (hours saved, cycle-time reduction, data quality).

Qualifications

Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent experience.
4+ years in data engineering, business intelligence, or analytics automation.
2+ years building production generative-AI solutions (e.g., Copilot Studio, Azure OpenAI, AI Builder, Microsoft 365 Copilot).

Expert Power BI: data modeling, DAX, Power Query (M), refresh, deployment, and row-level security.
Azure DevOps queries, Analytics/OData, and REST APIs; Power Automate; SharePoint Online; advanced Excel; SQL; and Python.
Clear communicator who can turn business needs into technical solutions and executive-ready visuals.

Preferred Qualifications
Experience with hardware, supply-chain, or product roadmap and portfolio data. Microsoft Fabric, Dataverse, or KQL; Power Platform ALM and Git. Microsoft certifications in Power BI, Fabric, Power Platform, or Azure AI. Explain a typical day in the role.:
Assess current workflows, baseline manual effort, and prioritize automation opportunities using AI. Maintain and troubleshoot existing PBI dashboards. What is the ideal background of a candidate for this role?:
1.

Must have sufficient knowledge and experience using companies Power Platform including Power Apps, Power BI, as well as Azure DevOps, SharePoint and more.
2. Have proven track record of implementing AI use cases to optimize workflow and data aggregation. A live walkthrough without confidential employer or client data is required at interviews. What are unique selling points that would get candidates interested in your role over another?: Build business acumen about companies Azure
How will contractor performance be measured?: quality of work

• Best vs.

Average: The ideal resume would contain experience with AI workload optimization in an enterprise environment, Power BI dashboards, aggregating data across multiple platforms/systems, and examples of using AI to improve workflow or operational efficiency. Previous Microsoft experience is a plus.

• 0-2 years of experience required for the qualifications, sponsor is open to reviewing candidates who are above this requirement.

Top 3 Must-Have HARD Skills & years of experience for each:
Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent experience.
4+ years Data engineering, business intelligence, or analytics automation.
2+ years building production generative-AI solutions (e.g., Copilot Studio, Azure OpenAI, AI Builder, Microsoft 365 Copilot).