AI Data Engineer
RemoteThe Netherlands
Job Summary
Build AI automation workflows and process automations end-to-end, extracting data from source systems, orchestrating Azure AI Foundry models with tool-calling, and writing results back into systems of record. Own the data plumbing by maintaining pipelines and integrations that support the AI portfolio, while establishing baseline and impact measurement data for board reporting. Support the analytics estate by maintaining Power BI semantic models and reports, helping business users answer their own questions within a bounded scope. Shape what gets built by joining discovery workshops to assess technical feasibility and influence decisions on custom builds versus Copilot Studio configurations.
Required Qualifications
- 4+ years building data pipelines and integrations in production
- Python and/or C#
- SQL
- REST APIs
- Azure Data Factory
- Azure Functions
- Blob Storage
- DuckDB
- Hands-on experience building agentic solutions with LLM APIs
- Azure AI Foundry
- OpenAI
- Anthropic
- RAG
- structured output
- tool-calling
- agentic frameworks
- testing/evaluating what they produce
- An AI-native way of working
- agentic coding tools
- Claude Code
- Cursor
- Antigravity
- GitHub Copilot
- articulate where they accelerate you and where they mislead
- Working proficiency in Power BI
- data modeling
- DAX
- report design
- Software engineering discipline
- version control
- code review
- CI/CD
- monitoring
- Strong communication with non-technical colleagues
- comfortable turning a messy process description into a technical design
- Pragmatism
- ship a working 80% solution and iterate
- flag when automation is the wrong answer
Desired Qualifications
- Experience in B2B SaaS operations
- support
- onboarding
- CS tooling ecosystems
- Copilot Studio
- Power Platform
- experience extending SaaS-embedded AI features
- Familiarity with privacy-aware data handling
- GDPR
- Dutch language skills
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