Full-Stack Ruby on Rails Developer with Database Focus (m/f/d)

Course overview

A Full-Stack Ruby on Rails Developer with a database focus combines front-end and back-end development with specialized expertise in the database area. They implement complex web applications using the Ruby on Rails framework and configure and optimize database structures. Their tasks include creating RESTful APIs, integrating database systems such as PostgreSQL or MySQL, implementing query optimizations, and developing scalable data solutions. They work with version control systems, implement automated tests, and participate in code reviews. The developer ensures efficient data processing and contributes to the continuous improvement of existing systems. Object-Oriented Software Development - Programming in Ruby & Web Development Ruby on Rails • Model object-oriented applications with Ruby - efficiently utilize methods, classes, and dynamics • Use a professional toolchain for Ruby projects - implement test-driven development and code quality • Quickly and robustly build web applications with Rails - master MVC, routes, and REST with scaffolding • Data modeling and CRUD with Active Record - correctly apply SQL security and ORM • Design accessible user interfaces - optimize CSS frameworks, templates, and performance • Practically integrate security concepts (CSRF, XSS) - implement GDPR-compliant data processing with Devise • Develop APIs and connect external interfaces - implement authentication and API-first in Rails • Combine Ruby with AI and microservices - apply Docker, lazy loading, and architectural patterns Web Development & Frameworks - Modern Approaches for Dynamic Web Applications • Web app architectures & RESTful API integration • Modern UI frameworks & accessible components according to WCAG 2.2 • Backend structures & API routing with OWASP standards • Data modeling & ESG-compliant storage solutions • CI/CD pipelines & container orchestration • Performance optimization & sustainable hosting • State management & internationalization • Monitoring, security & future trends in web development Databases and SQL - Efficient Data Management and Analysis • Understand database architectures in enterprise use - practically categorize data models, data types & metadata • Model relational models & data structures - efficiently normalize & design tables • Securely apply SQL queries for analyses & reports - purposefully use JOINs & aggregate functions • Implement data maintenance processes with SQL - manage transactions & data integrity in practical environments • Optimize SQL queries & reduce query load - professionally utilize indexing & execution plans • Efficiently operate cloud & containerized databases - scale & secure distributed database solutions • BI & data science directly from the database - automate analyses with AI tools & ESG dashboards • Practically implement data protection, access control & GDPR - sustainably design green IT & data lifecycle ------------------------------------------------------------------------------------------…

Upcoming dates

• 2026-10-18T22:00:00.000Z · 2027-01-24T23:00:00.000Z · München · Combined Learning
• 2026-11-15T23:00:00.000Z · 2027-02-21T23:00:00.000Z · München · Combined Learning
• 2026-11-15T23:00:00.000Z · 2027-02-21T23:00:00.000Z · Bautzen, Sachsen · Combined Learning
• 2026-11-15T23:00:00.000Z · 2027-02-21T23:00:00.000Z · Ludwigsburg, Württemberg · Combined Learning
• 2026-11-15T23:00:00.000Z · 2027-02-21T23:00:00.000Z · Dortmund · Combined Learning