Das ist der Job
We are leaders in digital technology services and deliver large-scale technology solutions for major companies.
Darum lohnt es sich
We are looking for the best talent… and we would love for you to join our team!
Develop ETL/ELT processes using Python and SQL Integrate data from multiple sources, ensuring quality, consistency, and traceability Model data and build analytical datasets and AI pipelines Implement data cleaning, validation, and quality control Integrate LLM APIs and design GenAI solutions (RAG, prompting, embeddings, semantic search) Use GenAI tools to accelerate development and documentation Document processes, models, prompts, and technical decisions Collaborate with technical and business teams on data and AI solutions Key Requirements Advanced Python and SQL Experience with ETL/ELT and data modeling Experien UST is a multinational company headquartered in North America, certified as a Top Employer, with more than 35,000 employees worldwide and a presence in over 30 countries.
What are we looking for? We are looking for a Data Ops Engineer – AI Enablement to work in advanced data environments and generative AI. This role combines Data/Analytics Engineering (60%) with AI Enablement/GenAI (40%) , preparing high-quality data and applying LLMs to build analytical solutions and intelligent automation.