Senior Consultant AI Data Engineering - Microsoft Azure (all genders)
Tasks
- Advise clients on target architectures and migrations
- Build data pipelines and ETL ELT
- Build data products for analytics and AI
- Build scalable cloud data solutions
- Create semantic data models
- Design and implement data platforms
- Design end to end data lifecycle architectures
- Develop and integrate LLM-based applications
- Develop conversational BI solutions
- Develop lakehouse architectures
- Establish best practices and reusable assets
- Implement RAG architectures
- Integrate AI agents into data engineering workflows
- Lead data and AI workstreams
Perks/Benefits
- Benefits platform
- Continuing education
- Flexible mobile working
- Flexible working hours
- German classes
- Mindfulness training
- Networking events
- Private health insurance
- Remote work option
- Tailored vacation days
Skills/Tech-stack
AI Foundry | API | Azure AI | Azure AI Foundry | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | CI/CD | DBT | Data Factory | Data Modeling | Data Quality | Data Warehouse | Databricks | ELT | ETL | Infrastructure as Code | LLMOps | Lakehouse | Language Models | Large Language Models | MLOps | Microsoft Azure | Microsoft Fabric | Power BI | Power Platform | PySpark | Python | RAG | SQL | Snowflake | Synapse Analytics | “as-code”
Education
N/A
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