We are looking for a motivated and enthusiastic Data Engineer (m/f) for our Team “Data Product”. You will be responsible for developing the plista real-time recommendation platform that serves millions of native content recommendations every day across the globe. You will work in a crossfunctional squad doing bi-weekly Scrum sprints; there will be lots of opportunities to interact, learn and develop yourself and your skills.
YOUR RESPONSIBILITIES
- Develop new components from concept to deployment in an high-load cloud environment
- Object oriented programming in a complex architecture: Controller implementation, modularization, refactoring, decoupling
- Implement microservices for interconnecting our software components
- Test-driven development
- Interface with real-time advertising platforms on demand and supply side
YOUR PROFILE
- Evidence of good programming skills with successful completion of a university degree and/or training course or relevant work experience in the IT sector
- Strong knowledge in PHP, MySQL, JavaScript (additional programming languages are a plus)
- Experience with cloud environments and container-based deployment
- Knowledgeable about clean code and design patterns
- Experience with ad technology, recommendation systems or real-time advertising
- Good knowledge in PHPUnit, xdebug, HTTP, caching and compression
- Creativity and initiative
- Good knowledge of the English language
OUR OFFER
- A committed and friendly team that is passionate about technology and media
- Fast decision-making processes and an open company culture
- Organizational mindfulness and a sustainable management
- Healthy team lunch, beverages and fresh fruit daily
- Company sports such as yoga & cross fit
- A family-friendly company with its own company daycare
- Company events and trips
- Great office in the heart of Berlin-Mitte with lots of space for creative work
- Excellent development and career opportunities
We have caught your interest? Please send your application documents including your earliest possible start date and salary expectations.