AI Data & Analytics Engineer (Senior)

Job Description

As part of the AI Execution function the AI Data & Analytics Engineer sits at the intersection of data engineering business intelligence and Generative AI strategy. You will be responsible for building robust data pipelines maintaining core enterprise Power BI reporting and playing a pivotal role in driving the adoption and understanding of Agentic AI and GenAI tools (such as Claude Code and other coding assistants) across the organization.

Key Responsibilities

Data Engineering & API Integration

• Design build and maintain data pipelines using Python to connect disparate enterprise systems and APIs

• Ensure smooth data extraction transformation and loading (ETL) processes to support analytics and AI initiatives

• Manage API connections for various internal tools and external AI services

Business Intelligence & Automated Reporting

• Develop manage and optimize interactive dashboards and automated reports using Power BI

• Translate complex data into actionable insights for stakeholders specifically focusing on metrics related to AI adoption cost optimization and operational efficiency

• Ensure data quality accuracy and high performance of BI solutions

AI Execution Agentic Frameworks & Education

• Act as a core subject matter expert within the AI Execution function driving internal education around Generative AI and Agentic workflows

• Develop and maintain learning content reference manuals and best practices for using enterprise GenAI tools (e.g. Claude Code GitHub Copilot)

• Assist in the development testing and deployment of specialized AI agents to automate workflows

• Help teams understand how to leverage LLMs and coding assistants for standardization and efficiency

Requirements

• Data/Programming: Strong proficiency in Python and experience with API integrations and data pipeline architecture

• Business Intelligence: Deep expertise in Power BI (DAX Power Query dashboard design and automated reporting)

• AI/GenAI Knowledge: Hands-on experience with Generative AI tools LLMs and prompt engineering. Specific experience with AI coding assistants (like Claude Code) and agentic frameworks is highly preferred

• Communication & Enablement: Proven ability to translate complex technical concepts (like GenAI) into digestible educational content for broader teams. Strong presentation and mentoring skills

• Experience analyzing token spend cost optimization and performance metrics for AI models is preferred

• Familiarity with enterprise code standardization and automated testing strategies using is preferred

What We Offer

• Exciting work in a great team global projects international environment

• Opportunity to learn and grow professionally within the company globally

• Pension and health (Canadian Medical) contributions

• Internal reward system plus referral program

• 5 weeks annual leave 5 sick days 15 days of certified sick leave paid above statutory requirements annually 40 paid hours annually for volunteering activities 12 weeks of parental contribution

• Cafeteria for tax free benefits according to your choice (meal vouchers sport culture health travel etc.) Multisport card Vodafone Raiffeisen Bank and Foodora discount programs

• Up-to-date laptop and iPhone parking in the garage showers refreshments

• Competitive salary incentive pay and many more

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