Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Münster (Hessen)
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you design scalable AI solutions, build RAG data pipelines in Azure, integrate data from various systems, and advance innovative use cases.
Job Technologies
Your role in the team
- As a member of our team, you will develop scalable AI solutions for energy, waste management, and public transportation using modern techniques.
- You securely, incrementally, and RAG-ready integrate customer data end-to-end from ERP (e.g., SAP S/4HANA / Dynamics), Knowledge Bases/DMS, and Microsoft 365.
- In addition to traditional ETL tasks, you create cloud-native RAG data pipelines — for example, with Azure Data Factory, Synapse Pipelines, or comparable tools.
- You bring embeddings and semantic search into production - via Azure AI Search, Elastic, or pgvector, and clean RAG patterns.
- Making data communicate with each other? Exactly your thing: Knowledge Graph Engineering with Neo4j, RDF/SPARQL, GraphQL, or similar for high-performance knowledge graphs.
- You develop MCP servers and ensure that models are provided with the right tools and data, delivered in a performant and controlled manner.
- Together with consulting, developers, and business units, you drive use cases forward — from the Aha moment to go-live.
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Our expectations of you
Education
- You have a completed degree in Computer Science / Business Informatics or several years of professional experience in the field of Software / Data Engineering.
Qualifications
- You have very good programming skills - preferably in TypeScript and Python. Do you know more languages? Even better!
- You have solid knowledge in building data pipelines and RAG architectures.
- Machine learning and natural language processing are not foreign concepts to you, and software development methods such as Git, CI/CD, and testing are standard for you.
- Analytical thinking, a structured way of working, and a high degree of self-responsibility characterize you.
- You are a team player, communicate clearly, actively contribute, and have very good German and English skills.
Experience
- Experience in frontend and backend technologies such as React, Node.js, Next.js, or similar is an advantage.
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What we offer
- 100% employer-funded occupational pension scheme: Secure your future with our corporate pension plan.
- We support a healthy work-life balance and promote it through flexible working hours, remote work, and minimal travel requirements.
- Offer of paternity part-time and childcare support through the pme Familienservice.
- Internal items Academy with modern training formats as well as individual support.
- In addition to health days, we offer delicious coffee specialties, water dispensers, fresh fruit, and a varied lunch including employer subsidies in the canteen.
- Various purchasing advantages through Corporate Benefits.
- Whether with JobRad, Jobticket, or company sports - items stay in motion.
- Equipped with the latest technologies in a modern office.
- Team events, foosball tournaments & an after-work session with the team.
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Benefits
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Topics that you deal with on the job
Job Locations
This is your employer
Items Gmbh
Die Dienstleistungen für unsere Kunden erstrecken sich vom kompletten IT-Outsourcing über das partielle Outsourcing und dem Projektgeschäft, bis hin zur Übernahme kompletter „Shared-Service-Funktionen“. Unser Unternehmen hat sich als Full-Service-Anbieter am Markt positioniert. Dies bedeutet, dass wir sämtliche IT-Leistungen vom Rechenzentrum über die Kommunikationsnetze, die Arbeitsplatzsysteme und Anwendungen bis hin zu den Geschäftsanwendungen und ausgewählten Geschäftsprozess-Services abdecken.
Description
- Company Type
- Digital Agency
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
AI Data Engineer
- Location
- Münster (Hessen)
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
