Job
- Level
- Erfahren
- Job Feld
- Software, Data
- Anstellung
- Teilzeit / Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Essen
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du Datenprodukte und KI-Agenten, implementierst Datenpipelines und Multi-Agenten-Workflows mit Databricks und Copilot Studio, während du Performance und Effizienz nachhaltig optimierst.
Job Technologien
Deine Rolle im Team
- As a hands-on AI & Data Engineer you turn architecture and standards into working data products, agents and integrations, from prototype to production.
- You Build the agents, pipelines and integrations that put AI into production.
- Build and operate data pipelines, data products and integrations on the lakehouse.
- Build agents and multi-agent workflows using Copilot Studio, Databricks and open frameworks (LangChain / LangGraph, LlamaIndex), including tools, memory, RAG and MCP integrations, from prototype to production.
- Implement agent evaluation and observability in delivery: evaluations, guardrails, tracing and CI/CD.
- Optimise performance and efficiency through model routing, caching and right-sizing, and surface usage / cost signals to the platform and infrastructure teams who own cost management.
- Create reusable components, agent templates and reference implementations others can adopt directly.
Unsere Erwartungen an dich
Ausbildung
- University degree (or equivalent) in Computer Science, Computer Engineering, Information Technology or related field.
Qualifikationen
- Strong data engineering skills (Python / SQL, Spark) and DataOps, with Databricks and Fabric.
- Ability in Hands-on agent building with Copilot Studio, Databricks and open frameworks (LangChain / LangGraph, LlamaIndex), plus MCP, tool and memory design and prompt engineering.
- Cloud (Azure/AWS), infrastructure as code, monitoring and observability.
Erfahrung
- Hands-on working experience in MLOPS principles and any agent framework in a regulated decentral environment.
- Experience with LLMOps/AgentOps: agent and model evaluation, guardrails, tracing and CI/CD.
- Experience delivering AI use cases in a large, multi-business organisation is advantageous, but not essential.
Unser Angebot
- Independent work on exciting and responsible tasks.
- Close collaboration in a motivated team with an open feedback culture that promotes your personal and professional development.
- Insights into a global energy company.
- Hybrid working and flexible working time models.
- Free access to the Health Center, modern open workspaces, free parking, e-charging stations and much more.
- Structured and digitized pre- and onboarding process supported by the web-based app RWE+You.
Benefits
Work-Life-Integration
Mehr Netto
Gesundheit, Fitness & Fun
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
RWE AG
Die RWE AG ist ein unverzichtbarer Bestandteil des europäischen Energiesystems und sorgt für die Versorgungssicherheit in Europa. Das Unternehmen verfügt über drei operative Segmente: Braunkohle & Kernenergie, Europäische Stromerzeugung aus Gas, Kohle, Wasserkraft und Biomasse sowie Energiehandel. Zudem hält RWE eine Finanzbeteiligung an der innogy SE, einem der führenden europäischen Energieunternehmen.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Energiewirtschaft, Umwelt
AI & Data Engineer
- Ort
- Essen
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
