Info & contact

Senior Data Engineer

Location: Zürich, Switzerland

Position type: Full-time

Start date: By agreement

About You

Are you looking to be part of a dynamic team delivering state-of-the-art machine learning solutions? Do you want to work in an environment where you have the freedom to push your ideas through and have a real impact? Is a friendly, open-minded, and feedback-oriented culture important for you? 

If your answers are YES  – then this is the perfect role for you as a Senior Data Engineer in our growing team to advance our Natural Language Processing applications. 

Your Responsibilities 

As our new Senior Data Engineer, you will play a crucial role in supporting RepRisk's Machine Learning team in developing state-of-the-art Machine Learning applications. You will design, implement and nurture the data processes that act as a foundation for our Machine Learning products. Moreover, you will: 

  • Develop and nurture high-load streaming applications delivering machine learning predictions 
  • Automate data extraction operations through data pipelines 
  • Create workflows to enhance training and re-training of our ML models 
  • Ensure ML models predictions are served with the required latency and throughput 
  • Monitor data flows in the ML stack 
  • Design and improve scalable data storage on the cloud 
  • Work in a Scrum team where your opinion is valued 

You Offer

  • A Master’s Degree (preferred) within subjects related to Computer Science 
  • 4+ years of experience in Data Engineering or data-intensive Software Engineering roles 
  • Strong Python and SQL expertise 
  • Experience with batch / stream processing 
  • Experience in architecting scalable data-driven software 
  • Software engineering best practices : clean and maintanable programming 
  • Familiarity with cloud environment, CI/CD, containers 
  • Experience with operating / monitoring data-driven software 
  • Experience working in an Agile setup 
  • Linux expertise 
  • Analytical and structured thinking, organized, solution-oriented, and efficient in execution 
  • Strong communication skills with a proficiency in English, every other language is a plus 

Additionally, the following are a plus : 

  • Java programming skills 
  • AWS experience, ideally Sagemaker 
  • Kubernetes expertise 
  • Experience working with Machine Learning teams 
  • Deep Learning and Natural Language Processing knowledge 
  • Familiarity with data security best practices 

About Us

RepRisk is a rapidly-growing global company and a pioneer in the environmental, social, and governance (ESG) data science field. Our goal is to make the world a better place by creating transparency in the business world – we are driving positive change via the power of data. We combine AI and machine learning with human intelligence to analyze public information and identify ESG risks. We serve as a reality check for how companies conduct their business around the world – do they walk their talk when it comes to human rights, labor standards, corruption, and environmental issues?  

We Offer

  • Flexible working hours and remote work up to 3 days a week 
  • An entrepreneurial, international, and dynamic work environment
  • A shared mission to drive accountability and responsible behavior of companies, thus creating positive change
  • A company that embraces diversity, because life would be boring if we were all the same!

Please note that we will only consider candidates with a valid work permit.
All selected candidates are required to complete an online technical test.