Data, Analytics & AI Engineer

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.

• 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.

• 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.

• 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.

• Partner with IT, Security, Dev Ops, 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.

• 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.

• Bachelor’s 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.

• 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…