Data & AI Engineer
EUR 45K-75K (estimate) Senior-level Contract Full Time
Tasks
- Apply metadata tagging and support data lineage
- Automate data pipelines and reporting workflows
- Build reusable datasets and data products
- Develop data pipelines
- Enable analytical workflows and reporting
- Ensure explainable traceable AI outputs with human in the loop
- Implement AI enabled use cases
- Implement audit logging
- Implement batch and near real time ingestion
- Implement data encryption at rest and in transit
- Implement data quality checks and monitoring
- Implement event driven processing alerts and triggers
- Implement identity and access management
- Integrate heterogeneous data sources
- Perform data cleansing validation and standardization
- Produce technical documentation and knowledge transfer
- Support monitoring logging and observability
- Support secure classified and unclassified environments
- Transform unstructured data for analytics
Perks/Benefits
- N/A
Skills/Tech-stack
AI Explainability | Access Management | Air-gapped | Air-gapped environments | Analytics | Audit Logging | Azure | Batch Processing | Business glossary | CI/CD | Data Catalog | Data Cleansing | Data Governance | Data Ingestion | Data Lake | Data Lineage | Data Modeling | Data Monitoring | Data Pipelines | Data Quality | Data Standardization | Data Validation | Data Warehouse | DevOps | ELT | ETL | Encryption | Event Driven | Event-driven architecture | Git | Human-in-the-loop | Hybrid Cloud | Identity and Access Management | Identity and access | Logging | Machine Learning | Metadata Management | Microsoft Fabric | Microsoft Purview | Near-real-time | Near-real-time Processing | Observability | Pipeline Automation | Real-time Processing | Secure deployment | Sovereign Cloud | The Loop | Time processing
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer
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