> Markdown version of [/jobs/ext/4076668-ai-engineer-data](https://www.wearedevelopers.com/jobs/ext/4076668-ai-engineer-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - Data - **Company:** Coöperatieve Rabobank U.A. - **Location:** Utrecht, Netherlands - **Salary:** €4,105.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Extract Transform Load (ETL), Data Systems, DevOps, Python (Programming Language), Power BI, Standard Sql, Software Engineering, SQL Databases, GitHub Copilot, AI Coding Agents, Agentic-AI, Data Lakes, Github Enterprise, Databricks, Programming Languages - **Published:** October 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=314a7d20dcdf9d37 ## About the Role You are an AI Engineer with a Data background and strong product mindset. Starting with GitHub Copilot, you combine hands-on expertise, user needs, and data-driven insights to help engineering teams get more value from Coding Assistants, measure their impact, and safely scale adoption across Rabobank., * Coding Agents knowledge (SKILLS, AGENTS.md). Active user of GitHub Copilot and other coding assistants on the market * Knowledge of developing Data solutions (Data Lakes, ETL pipelines, SQL, Dashboards). Databricks, SQL expertise, Data Modeling * Production experience (deploy, operate, scale systems) * Software development background * Understanding of Agile/Scrum principles and product-oriented delivery. * GitHub Enterprise administration (optional - willing to learn the basics). * Communication and stakeholder engagement skills * AI Governance and responsible AI (security, privacy, prompt injection, leakage, data protection) * Cloud, DevOps & IaC (practical experience, Azure DevOps). * Product-minded: focuses on value, outcomes, and lifecycle-not one-off delivery * Client and user-focused: passionate about making people successful * Quality-driven: committed to building robust, maintainable solutions * Strong communicator: bridges business and engineering effectively * Outgoing and collaborative: enjoys working with people and building trust * Proactive and accountable: takes ownership and drives results * Curious and growth-oriented: eager to learn and improve continuously ## Description * Accelerate the adoption of Coding Assistants by helping engineering teams integrate tools such as GitHub Copilot into their daily way of working. * Demonstrate the value of Agentic Engineering through hands-on experiments and proofs of concept with engineering teams. * Measure adoption and impact by defining relevant KPIs, building dashboards, and turning insights into actions. Facts & figures * 36 per week * 3000+ users and growing * 8.500 Engineers * 9.5 million customers worldwide Top responsibilities * Develop and deploy Dashboards to track usage and KPIs. (AWS, Azure DevOps, Python, SQL, Databricks, PowerBI) * Be a leader on using Coding Assistants: coaching teams how to make use of AGENTS.md, Spec-driven development, custom skills and agents, and strategies to optimize token usage. Lead by example * Help the community in making the most value out of GitHub Copilot for various IDEs and programming languages * Perform POCs and work with Security teams to evaluate enabling new features such as CLI * Operational tasks including license management and answering support tickets and queries