Data Engineer (m/f/d) - Machine Learning Risk Management

Ratepay • Berlin

  • Full-time

Berlin

from today

Your duties

Risk Management sits at the heart of Ratepay. It enables revenue growth; protects consumers, merchants, and the company from e-commerce fraud and affects our direct profitability. Our company is driven by rigorous and fast decision-making by humans or machines.
Currently operating on an on-premise setup for our ML use-cases, we want to significantly improve our capabilities by augmenting our ML systems to suit our growing needs for automation, scalability and ease of use.

As Data Engineer (m/f/d) - Risk Management you would be one of the main contributors to bring the data layer of the platform to life, grow it and improve it. You work in close collaboration with our Platform and Data Engineering teams being part of Ratepay's Risk ML team - acting with a high degree of ownership and autonomy, to build, run and maintain ML data pipelines and data services that solve complex business challenges at scale in the Risk Management domain.

Your tasks: 
  • Together with a diverse, cross-functional team of Engineers and Data Scientists, you bring our Risk Decision Platform to the next level
  • You design, implement and improve scalable, efficient, and well-tested Machine-learning data pipelines and related micro-services
  • You build and own large additions to our ML framework, charged with finding ways to create, maintain and  improve reliable ML delivery solutions
  • You are involved in the day-to-day operations of the team: Maintaining and improving our current tools & scripts and supporting ML Engineers and Data Scientists
  • You mentor team members from data science and software engineering in data engineering topics and
  • You bring your improvement and automation ideas to life, shaping the future of data engineering at Ratepay

Your profile

  • You have completed a degree in Data Science, Computer Science, Information Technology or a related field with Data Engineering background
  • You have 5+ years data engineering in a professional context including one year professional experience in machine-learning related topics
  • You have very good coding (Python/Java and SQL) and are following software development best practices in your daily work (clean code, testing, design patterns)
  • You have good knowledge in Big Data technologies and experience in streaming frameworks and solid knowledge in ML data engineering with ML pipelines (like sci-kit learn, Pytorch)
  • You have already gained experience in Containerization with Docker and CI/CD tools like Jenkins
  • You hands-on knowledge in feature stores and databases and Linux experience
  • Your experience with data analysis (e.g. jupyter notebooks), Ansible, checkMK, Gafana and Kubernetes would be a nice add-on
  • You like working autonomously and taking ownership of projects and components
  • Your rigorous focus on simple but high-quality solutions, understanding the use cases and business impact
  • You are a team player and your working mantra includes: “You build it, you run it”
  • Your business proficiency in English rounds off your profile

Our offer

  • Working with a modern Tech-Stack and the free choice of your working tools
  • A challenging job in a rapidly growing industry
  • Room for personal growth and professional development
  • Flexible working hours and mobile office options
  • A safe working environment with plenty of scope for creativity
  • Trustful interaction in a welcoming team with flat hierarchies
  • Company and team events, knowledge exchange and the opportunity to contribute your ideas
  • Become a digital nomad: Work with Ratepay from different countries within the EU
  • Individual solutions to balance work and family life
  • Company pension plan

Equal Opportunities & Diversity

We value our diversity and welcome everyone to our team. Regardless of ethnic and social background, religious views, worldview, gender, sexual orientation, physical and mental limitations, age, marital status, educational background and nationality.

Does that sound like an exciting challenge for you? Franziska, our Recruiter, is looking forward to your application.     

Join our team. Together we create the future of digital payments

Apply now