Job Title: Data Engineering Expert
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Role Overview
We are seeking a skilled Data Engineer to lead the development of proof-of-concepts for key ERP streams, leveraging Azure OpenAI, pgvector, and Python. This role involves creating knowledge-mining chatbots, process-mining visualizations, data-migration copilots, test-case generators, and other accelerators.
Key Responsibilities
* Reverse-engineer existing ERP systems, parsing tables, logs, and legacy specs to generate clear technical documentation and searchable knowledge bases.
* Maintain alignment with project plans and collaborate closely with functional and integration experts to ensure prototypes meet real needs and can evolve towards production.
* Deliver technical GenAI training on demand, including prompt engineering, RAG patterns, secure LLM usage, and packaging code for smooth hand-off.
Requirements
* A university degree in computer science/engineering, mathematics, economics, or equivalent working experience (minimum 5 years) in engineering on ERP or large enterprise systems, with hands-on experience in data migration, process automation, or custom extensions.
* Familiarity with creating or running GenAI/LLM solutions in production, including RAG pipelines, prompt engineering, and vector search.
* Strong Python & SQL skills, with ability to ship robust services and REST APIs.
* Production experience with Azure OpenAI and PostgreSQL + pgvector.
* Comfortable with GitLab CI/CD workflows and containerised deployments on Kubernetes.
* Demonstrate strong expertise in analysing system logs, tables, and code to produce precise, usable documentation.
* Resilient over long projects, and able to collaborate smoothly with business, functional, and technical stakeholders.
* Excellent interpersonal skills and communication skills in English; good knowledge of Luxembourgish, German, or French considered an advantage.
* Security-minded and documentation-oriented, ensuring every AI capability delivered is auditable and explainable.
What We Offer
We provide a dynamic work environment that fosters collaboration and innovation. As a Data Engineering Expert, you will have opportunities to grow professionally and contribute to cutting-edge projects.
About Us
[Company information deleted]