(Senior) Data Engineer (f/m/d)

  • Finiata
  • Sep 01, 2021
Full time Data

Job Description


Machine Learning (ML) is revolutionizing the way of doing business at a global scale. In business lending, Finiata takes the technological forefront by developing proprietary technology that allows us to take accurate decisions in a fully data driven fashion. YOU will contribute to further develop the in-house all-data-things technology by engineering and productizing novel pipelines and ML models.

Note: This position is open from junior to senior level, depending on each candidate’s expertise

You will:

  • Work closely with Data Scientists, Backend Engineers, Quality Engineers and DevOps to operationalize proprietary machine learning technology to different problems
  • Design and maintain scalable ETL infrastructure usable in multiple scenarios and applications (e.g.: data science, advanced analytics)
  • Design and develop health and performance monitoring tools of data pipelines and the production of machine learning technologies
  • Design and improve heterogenous, asynchronous and high-performance large-data processing pipelines from/to multiple sources/destinations
  • Operationalize innovative, data-intensive, end-to-end machine-learning(ML)-based decision engines
  • Highly motivated with excellent communication and strong interpersonal skills
  • In-depth knowledge and professional working experience with software engineering, ETL pipelines and setting up machine learning workflows
  • Proficiency in Python 
  • Experience in implementing and deploying REST microservices and Kafka messaging queues in AWS cloud ecosystem
  • Basic understanding of data science project lifecycles and commonly associated RDBMS/NoSQL technologies
  • Fluent written and verbal communication in English

As a plus:

  • 2+ years of experience in deploying and maintaining in production data pipelines working at scale which are fuelling and/or being fueled by machine learning models in production
  • Get to make an impact on thousands of businesses every day
  • Participate in a self-organized, continuously improving team
  • Work with the best and learn from other competent and brilliant people
  • Be supported to grow and take leadership from day one
  • Get insights and learnings about the financial business and technology
  • Benefit from remote work opportunities, flexible working hours and a Company Holiday on 24th and 31st December
  • Have the option to take German language courses
  • Have the option to bring your best buddy to work. We love dogs!
  • Be paid a competitive salary