Data, Analytics & AI Engineer
Hands-on data/analytics engineer (placed via Deploy for its client) building a modern enterprise data platform: pipelines with Azure Data Factory and Boomi, Azure SQL data models, Power BI dashboards, and AI/agentic workflows, while helping migrate to Microsoft Fabric. On-site role in Birmingham, Alabama.
- Compensation
- Not disclosed
- Location
- Birmingham, Alabama, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Bachelor's degree (or higher) in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, or related field
- Strong experience building enterprise data pipelines using Azure Data Factory, Boomi, or similar integration tools
- Excellent SQL skills with experience designing relational data models
- Experience with Azure SQL Database or similar database technologies
- Hands-on experience building Power BI semantic models, dashboards, and reports
- Programming experience with Python, including notebooks and data engineering workflows
- Practical experience applying AI and Machine Learning to solve real business challenges
- Strong analytical and problem-solving skills
- Ability to communicate technical concepts to technical and non-technical audiences
- Curious, self-motivated, and excited about learning new technologies
Nice to have
- Experience with Microsoft Fabric (Lakehouse, Warehouse, Notebooks, Real-Time Analytics, AI workloads)
- Familiarity with agentic AI, workflow orchestration, or intelligent automation platforms
- Experience supporting enterprise data platforms in regulated or security-conscious environments
- Knowledge of modern data architecture, including ELT, semantic layers, governance, and data lineage
- Experience working in large, multi-company, or distributed enterprise environments
- Customer-first mindset with the ability to build strong relationships across the business
Full description
Data, Analytics & AI Engineer
Help Build the Future of Data, Analytics & AI
Are you passionate about data engineering, analytics, and artificial intelligence?
Do you love solving complex business problems while working with cutting-edge technology?
If so, this is an opportunity to make a real impact.
Our client is looking for a Data, Analytics & AI Engineer to help design, build, and evolve a modern enterprise data platform.
This is a highly visible, hands-on role where you'll work at the intersection of data engineering, business intelligence, analytics, and AI, creating intelligent solutions that drive smarter decisions and automate business processes across the organization.
You'll help build scalable data pipelines, develop powerful analytics, and create AI-enabled and agentic workflows that improve efficiency, generate insights, and transform how the business operates. You'll also play a key role in the organization's exciting transition to Microsoft Fabric, helping shape the future of its data ecosystem.
If you're someone who enjoys building things, learning new technologies, and bringing AI into real-world business applications, we'd love to talk to you.
What You'll Do
Build Modern Data Platforms
Design, build, and maintain scalable data pipelines using Azure Data Factory and Boomi.
Integrate data from ERP, EHS, operational, and enterprise systems.
Develop and manage curated data models in Azure SQL while helping migrate to Microsoft Fabric Lakehouse and Warehouse architectures.
Ensure high levels of data quality, performance, governance, and reliability.
Help establish best practices and architecture standards for the next generation data platform.
Deliver Powerful Analytics
Build interactive dashboards, semantic models, and reports using Power BI.
Partner with business leaders to translate business questions into actionable KPIs and analytics.
Enable self-service reporting through well-designed datasets and documentation.
Turn raw data into meaningful business insights.
Drive AI Innovation
Design, prototype, and deploy AI and Machine Learning solutions.
Build intelligent workflows that automate multi-step business processes using AI and agentic technologies.
Leverage Azure AI services and Microsoft Fabric capabilities including notebooks, machine learning, and real-time analytics.