AI & Data Engineering
EUR 50K-65K (estimate) Mid-level Full Time
Tasks
- Automate data validation monitoring lineage observability
- Build AI ready datasets and data assets
- Build and operate platform components for data and AI
- Build data models and data services
- Collaborate with DevOps QA analytics teams
- Deliver data products and intelligent workflows
- Design scalable data pipelines
- Develop and maintain production grade APIs microservices
- Enable machine learning and LLM use cases with governance
- Improve scalability resilience and maintainability
- Manage metadata versioning traceability
- Prepare and optimize structured and unstructured datasets
- Review code and resolve performance and reliability issues
Perks/Benefits
- Employee discounts
- Flexible working hours
- Health and wellness programs
- Health insurance
- Hybrid work model
- Learning and development opportunities
- Life insurance
- Sports center access
- Volunteering opportunities
Skills/Tech-stack
APIs | AWS | Agile | Azure | Big Data | CI/CD | Data Governance | Data Modeling | Data Quality | Data orchestration | DevOps | Docker | ELT | ETL | GCP | Go | Java | JavaScript | Kubernetes | LLM | Machine Learning | Microservices | Python | SQL | Testing | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Engineer | Engineer | Software Engineer
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