Typical Day in the Role
• Purpose of the Team: The purpose of this team is to provide telemetry reporting, analytics, automation, and AI-driven insights that improve visibility into service health, availability, and operational performance through dashboards, reporting solutions, and data engineering capabilities.
• Key projects: This role will contribute to telemetry and service health initiatives by developing reporting, analytics, and automation solutions. Responsibilities include building Power BI reports and Grafana dashboards, creating Kusto-based analytics, supporting telemetry monitoring, and improving data-driven insights related to availability and operational health.
The main function of an AI Data Engineer is to design, develop, enhance, validate, maintain, and support telemetry reporting, data solutions, automation, and AI-assisted solutions. The role develops reports, dashboards, data models, automation, reporting & analytics agent components, and supporting data solutions to improve telemetry coverage, telemetry availability, clean telemetry, and telemetry data quality.
Key Job Responsibilities
- Design, develop, and maintain telemetry reporting, data solutions, automation, and AI-assisted solutions.
- Design, develop, and enhance Power BI reports, Grafana dashboards, semantic models, and analytics solutions to deliver actionable business insights.
- Develop and optimize Azure Data Explorer (Kusto/ADX) queries, functions, data models, scheduled tables, materialized tables, snapshot tables, and supporting datasets.
- Integrate enterprise data sources and develop supporting SQL queries, ETL processes, and data pipelines required for analytics and reporting solutions.
- Develop automation solutions using Python, PowerShell, C#, or similar scripting/programming languages to automate operational tasks and support business requirements.
- Develop AI-enabled reporting and analytics agent components, including Copilot Agents, Agency CLI skills, prompt assets, and supporting knowledge files.
- Validate data quality, business logic, report accuracy, dashboards, and scheduled refreshes to ensure reliable production solutions.
- Monitor, troubleshoot, and resolve data pipeline, query, reporting, and production issues to maintain solution reliability and performance.
- Create and maintain technical documentation, reusable components, and engineering best practices to support long-term solution maintainability.
- Collaborate with cross-functional engineering teams to deliver scalable, high-quality analytics and reporting solutions.
Explain a typical day in the role.:
Design, develop, and maintain telemetry reporting, analytics, automation, and AI-assisted solutions. Build Power BI reports and Grafana dashboards, develop Kusto queries and data models, integrate enterprise data sources, develop automation and reporting & analytics agent components, validate production solutions, and troubleshoot production issues.
What is the ideal background of a candidate for this role?:
Strong experience developing reporting, analytics, automation, and data solutions using Power BI, Grafana, SQL, Kusto or similar analytics platforms, Python, PowerShell or C#, data modeling, ETL/data pipelines, Azure DevOps, and AI-assisted reporting & analytics agent components. Experience with telemetry, monitoring, or operational systems is preferred.
What are unique selling points that would get candidates interested in your role over another?:
Design and develop enterprise telemetry reporting, analytics, automation, and AI-assisted solutions supporting companies datacenter operations.
Work across the complete solution lifecycle, including reporting, data modeling, automation, reporting & analytics agent development, production support, and continuous enhancements.
Build solutions using modern technologies, including Power BI, Azure Data Explorer (Kusto), Grafana, Copilot technologies, and Azure DevOps.
Contribute to improving telemetry visibility, data quality, operational monitoring, and production reliability at enterprise scale.
How will contractor performance be measured?:
Delivery of high-quality reporting, analytics, automation, and AI-assisted solutions.
Completion of assigned Azure DevOps work items within agreed timelines.
First-pass acceptance during companies review with minimal rework.
Reliability, maintainability, and performance of delivered solutions.
Candidate Requirements
• Best vs. Average: The ideal resume will contain hands-on experience with telemetry and analytics platforms, including Power BI, Grafana, SQL/Kusto, Python, PowerShell, or C#, along with expertise in data engineering, ETL/data pipelines, automation, and AI-assisted reporting solutions. Experience supporting telemetry health, availability monitoring, operational dashboards, and enterprise-scale reporting environments is highly preferred.
Top 3 Must-Have HARD Skills & years of experience for each:
**1. Reporting & Analytics** — **5+ years**
* Power BI
* Data Modeling
* DAX
* Grafana or similar reporting platforms
* HTML/Web-based reports
**2. Automation, AI & Agentic Solutions** — **3+ years**
* Python
* C#
* PowerShell
* AI-assisted engineering
* Agentic platforms / Copilot agents
* Automated report generation
**3. Data Engineering** — **5+ years**
* SQL
* ETL / data pipelines
* Azure Data Explorer (Kusto) or similar cloud analytics platforms
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: talmn001
- Position Id: 26-07789
- Posted 13 hours ago
Never miss an opportunity! Create an alert based on the job you applied for.