O SEU PRÓXIMO CAPÍTULO
Senior Gen AI Engineer
Sobre a vaga
• Design, develop, and maintain scalable data engineering and analytics solutions
• Build reliable data pipelines for batch and real-time processing
• Develop data platforms and workflows using Databricks and modern cloud technologies
• Work with large and complex datasets for analytics, reporting, and AI-driven applications
• Design data models and optimise processing workflows for performance and scalability
• Integrate structured and unstructured data sources
• Implement data quality, validation, monitoring, and governance practices
• Collaborate with data scientists, analysts, engineers, product teams, and business stakeholders
• Translate business requirements into scalable technical and data solutions
• Troubleshoot pipeline, processing, performance, and integration issues
• Optimise data architectures and workflows for reliability, efficiency, and cost
• Contribute to cloud-based data architecture and platform modernisation
• Develop reusable frameworks, components, and data engineering best practices
• Support deployment, monitoring, and maintenance of production data solutions
• Stay current with emerging data engineering, cloud, analytics, AI, and modern data platform technologies
• 5+ years of professional experience in data engineering, analytics engineering, data platforms, or a related technology role
• Strong experience designing and developing scalable data pipelines and data processing solutions
• Hands-on experience with Databricks and modern cloud-based data platforms
• Strong understanding of data engineering concepts, data modelling, ETL/ELT, and distributed data processing
• Experience with AWS, Azure, or GCP
• Strong programming and scripting skills in Python, SQL, Scala, or Java
• Experience with relational and non-relational databases and large-scale datasets
• Understanding of data architecture, integration patterns, performance optimisation, and data quality
• Experience supporting analytics, business intelligence, machine learning, or AI-driven use cases
• Strong analytical and problem-solving skills
• Ability to work effectively with cross-functional and technical teams
• Strong communication skills for explaining technical concepts to business stakeholders
• Experience working in agile, fast-paced technology environments
• Ability to independently drive projects from requirements through implementation and production
• Passion for learning and experimenting with emerging data, cloud, analytics, and AI technologies