Data Engineer
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You’re a perfect match if you have:
- 3+ years experience with data engineering in enterprise environments
- Strong proficiency in Python and SQL for data processing and transformation
- Experience with ETL/ELT tools and data integration patterns
- Knowledge of enterprise data standards and APIs (REST, Graph
QL, SOAP) - Understanding of data privacy, security, and access control best practices
- Experience with cloud platforms (AWS, Azure, GCP) and data infrastructure
- Familiarity with containerization and orchestration tools
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field
Your
-
- day activities:
- Design and build data pipelines that integrate diverse enterprise data sources for AI processing
- Develop connectors and adapters for enterprise systems (CRM, ERP, document management, databases)
- Implement data quality frameworks and validation systems for AI model inputs
- Create secure data handling workflows that support global development teams
- Build data transformation pipelines that prepare unstructured and structured data for AI models
- Establish data governance and lineage tracking for compliance and audit requirements
- Optimize data processing workflows for scale and performance
- Collaborate with data scientists and AI engineers to ensure data meets model requirements
Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get
- applied to 100s of
- paying roles.
Sign up now at and let the opportunities come to you.
- Informações detalhadas sobre a oferta de emprego
Empresa: Calyptus Localização: Beja
Beja, Beja, PortugalPublicado: 17. 12. 2025
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