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 youll 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.
Youll 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. Youll also play a key role in the organizations exciting transition to Microsoft Fabric helping shape the future of its data ecosystem.
If youre someone who enjoys building things learning new technologies and bringing AI into real-world business applications wed love to talk to you.
What Youll 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.
Champion responsible AI adoption across the organization.
Identify opportunities where AI can improve forecasting anomaly detection
classification automation and decision-making.
Collaborate Across the Business
Partner with IT Security DevOps and business leaders to deliver secure scalable solutions.
Work closely with cross-functional teams and affiliate companies on strategic initiatives.
Manage projects with measurable business outcomes and clear success metrics.
Innovate Continuously
Evaluate emerging technologies in data analytics and AI.
Recommend improvements that create measurable business value.
Foster a culture of innovation experimentation and data-driven decision making.
What Were Looking For
Required Qualifications
Bachelors degree (or higher) in Computer Science Data Science Engineering
Statistics Applied Mathematics or a 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 both technical and non-technical audiences.
Curious self-motivated and excited about learning new technologies.
Bonus Points If You Have
Experience with Microsoft Fabric including Lakehouse Warehouse Notebooks
Real-Time Analytics and 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.
A customer-first mindset with the ability to build strong relationships across the business.
Why Youll Love This Opportunity
Work on meaningful projects using the latest AI and analytics technologies.
Help shape the future of a rapidly evolving enterprise data platform.
Play a key role in an organizations Microsoft Fabric transformation.
Collaborate with talented business and technology leaders.
Build solutions that directly influence strategic business decisions.
Be part of a culture that embraces innovation experimentation and continuous learning.
If youre excited about building modern data platforms leveraging AI to solve real business problems and making a measurable impact wed love to hear from you.
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...
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 youll 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.
Youll 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. Youll also play a key role in the organizations exciting transition to Microsoft Fabric helping shape the future of its data ecosystem.
If youre someone who enjoys building things learning new technologies and bringing AI into real-world business applications wed love to talk to you.
What Youll 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.
Champion responsible AI adoption across the organization.
Identify opportunities where AI can improve forecasting anomaly detection
classification automation and decision-making.
Collaborate Across the Business
Partner with IT Security DevOps and business leaders to deliver secure scalable solutions.
Work closely with cross-functional teams and affiliate companies on strategic initiatives.
Manage projects with measurable business outcomes and clear success metrics.
Innovate Continuously
Evaluate emerging technologies in data analytics and AI.
Recommend improvements that create measurable business value.
Foster a culture of innovation experimentation and data-driven decision making.
What Were Looking For
Required Qualifications
Bachelors degree (or higher) in Computer Science Data Science Engineering
Statistics Applied Mathematics or a 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 both technical and non-technical audiences.
Curious self-motivated and excited about learning new technologies.
Bonus Points If You Have
Experience with Microsoft Fabric including Lakehouse Warehouse Notebooks
Real-Time Analytics and 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.
A customer-first mindset with the ability to build strong relationships across the business.
Why Youll Love This Opportunity
Work on meaningful projects using the latest AI and analytics technologies.
Help shape the future of a rapidly evolving enterprise data platform.
Play a key role in an organizations Microsoft Fabric transformation.
Collaborate with talented business and technology leaders.
Build solutions that directly influence strategic business decisions.
Be part of a culture that embraces innovation experimentation and continuous learning.
If youre excited about building modern data platforms leveraging AI to solve real business problems and making a measurable impact wed love to hear from you.