AI & Analytics Engineer I at Finning tasked with developing data models and AI agents. Collaborating with senior engineers and supporting Analytics Engineering initiatives.
Responsibilities
Build and support AI agents using Copilot & Microsoft Foundry
Assist in configuring and improving Copilot and Microsoft Foundry agents that automate clearly defined business tasks.
Implement agent grounding using approved data sources (e.g., Azure AI Search) and predefined tools or actions.
Follow established AI governance, safety, and documentation standards; validate agent behavior through testing and user feedback.
Maintain prompts, configurations, and basic telemetry with guidance from senior team members.
Build and maintain data models in Microsoft Fabric
Develop and enhance curated gold-layer data models following provided designs, naming standards, and star schema principles.
Implement data transformations using Fabric Pipelines, Dataflows, or Notebooks under supervision.
Document table definitions, measures, refresh logic, and lineage according to team standards.
Support data quality and validation activities
Assist in implementing data quality checks, validation rules, and schema reviews.
Investigate data issues using SQL, DAX, or Python with guidance; escalate anomalies and risks appropriately.
Collaborate on requirements and solution delivery
Participate in requirements discussions to understand business processes and analytical needs.
Work closely with Data Engineering, BI, Platform, and Security partners to deliver assigned components.
Contribute to documentation, change notes, and runbooks to support solution landing and supportability.
Learning and skill development
Build foundational knowledge in Microsoft Fabric, Power BI, Copilot, and AI agent patterns.
Stay current with team standards, tooling updates, and recommended best practices.
Actively incorporate feedback and lessons learned into day-to-day work.
Requirements
0–2 years of experience in analytics, data, software, or related roles (including internships or co-op experience).
Foundational knowledge of SQL and data modeling concepts.
Exposure to Microsoft Fabric, Power BI, Azure, or Copilot/LLM-based tools through education or hands-on projects.
Familiarity with Git-based workflows, documentation, and peer review practices.
Strong learning mindset and ability to follow standards and accept coaching.
Diploma or Degree in Computer Science, Information Management, Analytics, Engineering, or a related field, or equivalent experience.
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