Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Essen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop data products and AI agents, implement data pipelines and multi-agent workflows using Databricks and Copilot Studio, while sustainably optimizing performance and efficiency.
Job Technologies
Your role in the 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.
- Optimize 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.
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Our expectations of you
Education
- University degree (or equivalent) in Computer Science, Computer Engineering, Information Technology or related field.
Qualifications
- 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.
Experience
- 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.
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What we offer
- 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.
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Benefits
Work-Life-Integration
- 🏠Home Office
- 🅿️Employee Parking Space
- 🚌Excellent Traffic Connections
- ⏰Flexible Working Hours
- 🍼Day Care for Kids
More net
Health, Fitness & Fun
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
RWE AG
RWE AG is an essential part of the European energy system, ensuring security of supply for Europe. With its three operating segments - lignite & nuclear power, European electricity generation from gas, coal, hydropower and biomass, and energy trading - it is one of the leading European energy companies.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy
AI & Data Engineer
- Location
- Essen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
