R&D Data Engineer

Budapest, Hungary

Join our small and powerful team of scientists and engineers to work on one of the world's largest facial coding databases and a ground-breaking technology that teaches computers to better understand human emotions.




What we offer

  • Exciting work with some of the leading experts in the field of facial expression analysis around the world
  • Challenge to create advanced data solutions from the ground up
  • Feel how your everyday work greatly impacts company inside and our international clients around the world
  • Work with one of the world's largest human behaviour datasets
  • Great working environment and work tools of your choice
  • Career and skill growth supported by budget for professional development including the opportunity to visit best technical conferences as a presenter or listener (e.g. Spark Summit, CeBIT).
  • Competitive salary
  • Fun team with lots of varying interests and activities that we often join to do together
  • Flexible working hours
  • Drinks, snacks, fruits, breakfasts, coffee machine and more



Responsibilities

  • Work closely with Computer Vision researchers, data scientists and engineers to design, build and maintain scalable data architecture and related tooling including real-time data systems and pipelines
  • Drive coding and documentation standards, participate in code reviews and be a mission critical member of the team
  • Help data scientists and researchers write clean and optimal production-ready code, enable release of latest AI models to production
  • End-to-end responsibility for tools and databases used by R&D team
  • Automating data extraction, loading, transformation, storage and visualisation of different types of performance, content, emotions and behaviour data



Qualifications and Requirements

  • 2+ years of experience in data engineering, preferably backed up by bachelor's degree in Computer Science, Statistics, Mathematics, Physics or other relevant fields
  • Comfortable handling large datasets using Python (Pandas, Scikit-Learn, NumPy, Jupyter), Java/Scala and SQL
  • Experience with “big data” toolboxes like Spark, Hadoop, Hive, Kafka, Cloud technology concepts.
  • Data modelling and query optimisation skills
  • Experience in building and working with ETL pipelines
  • Knowledge of data visualisation frameworks (e. g. Matplotlib, Plotly, D3.js)
  • Proficiency with *nix environment and git
  • Experience with continuous integration, configuration and documentation management
  • Strong interpersonal and communications skills



Nice to have:

  • Experience with AWS (e.g. EMR, Redshift, Kinesis)
  • Experience with Distributed Neural Networks on GPUs
  • Basic experience with JavaScript and UI

Apply now

Please write your application letter and CV in English. Any interviews will also be spoken in English.

Apply now