Data Engineer
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Ed
Tech company focused on bridging the digital skills gap through
- impact,
- oriented learning. The company partners with industry leaders such as Microsoft and IBM to offer
- aligned training programs in areas like AI, Data Science, Cloud Computing, and Cybersecurity. With a strong focus on practical application and certification readiness, the company serves learners, professionals, and enterprises seeking to stay competitive in the digital economy.
We are seeking a Data Engineer with 3-4 years of experience to help build and implement our educational data hub. This foundational platform will power our AI-driven product roadmap, enabling model
- tuning, personalized learning recommendations, and predictive learning pathways. The ideal candidate will work closely with our AI and product teams to create scalable data infrastructure that transforms educational experiences.
Required Qualifications
- 3-4 years of professional experience in data engineering roles
- Strong SQL skills and experience with relational databases
- Experience with data processing frameworks (Apache Spark, Databricks, or similar)
- Proficiency in Python and familiarity with data processing libraries
- Knowledge of ETL design patterns and best practices
- Understanding of data modeling concepts and techniques
- Experience with version control systems (Git)
Tarefas
- Design and implement scalable data pipelines that support model training/fine-tuning workflows
- Build data streams that capture learner journeys and interactions for recommendation engines
- Develop data structures optimized for predictive analytics on learning behaviors and outcomes
- Create efficient ETL processes that transform educational content into
- ready formats - Implement data storage solutions that support both public and private content processing
- Collaborate with AI engineers to optimize data accessibility for personalization algorithms
- Support the development of analytics frameworks for measuring learning pathway effectiveness
- Help establish data governance practices that ensure security and compliance across educational sectors
Formação
Superior Completo: Computer Science, Data Engineering, Information Systems, Software Engineering
Idiomas
- Inglês - Fluente
- Português - Fluente
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Human Resources Services
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#J-18808-Ljbffr- Informações detalhadas sobre a oferta de emprego
Empresa: Catallyse Localização: Porto
Porto, Porto District, PortugalPublicado: 27. 6. 2025
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