Job type: Vollzeit

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Job description

At Machine Learning Reply Austria we strive to work on leading-edge data science projects with our clients for which we are seeking Cloud Engineer consultants with a strong technical background.

Machine Learning Reply, with its sister companies in Italy and Germany and over 8500 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Data Science, Cloud technologies and the right organizational frameworks as their backbone. We are a tight knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practice with our tech partners.

We offer tailor-made end-to-end cloud-based solutions in the Data Science area that cover the entire project life cycle - from initial strategy consulting to data architecture and infrastructure issues to data processing and deployment of production-ready algorithms.

We have a vast expertise in every step of the Data Science implementation spectrum in all key industries of the German HDAX-companies. With focus on open source and cloud technologies we enable our customers to successfully introduce and implement new data-driven solutions and to optimize already existing processes and products while simultaneously adapting to cloud technologies.


Use your cloud know-how and work closely with our customers to find out what the perfect (cloud) technology is for them!

  • Through your knowledge you are able to design innovative, technical approaches for cloud solution architectures
  • Your designed cloud architectures (based on AWS, Microsoft Azure or Google Cloud) will be implemented by you also always considering DevOps / MLOps
  • You will not be alone and will work closely with colleagues from Data Science or Data Engineering to jointly develop data-intensive applications
such as data warehouses, data lakes and/or data platforms
  • You enjoy brainstorming, conceptualization and final implementation. You therefore like to accompany the complete LifeCycle by creating specifications, code and presentations for your solutions.
  • As part of the Reply network, you join communities of practice, participate in hackathons and use all available learning resources
What we offer you:
  • We offer you for this position according to the collective agreement for employees in data processing and information technology a gross monthly salary of at least EUR 3215 (Consultant) or EUR 4286 (Senior Consultant) depending on your previous experience.
  • Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)
  • Very active group social program - including conference funding, team building, group events, Reply Exchange
  • Recognition for Innovation to foster your personal development
  • Work in an open, flat environment, within a broad Reply knowledge sharing network (more than 90 autonomous Reply groups across 8 countries)
  • Office space in downtown Vienna with access to Stammstrecke
  • Training and certification encouraged
  • Home-office contracts
  • State of the art work equipment
  • Award winning office spaces for an excellent work experience
  • Public transport ticket within Vienna
  • Gym-membership subsidy for a gym of your choice
  • Flexible work environment between client, Reply office and remote work

  • A university degree in (business) informatics, mathematics, statistics (or comparable) and at least 3 years of professional experience in industry or consulting
  • Experience in the development of data-intensive applications such as data warehouses, data lakes and / or data platforms
  • You have knowledge in code development using Java/Scala or Python
  • You are familiar with relational databases as well as ideally NoSQL databases (e.g. Oracle, Aurora, Mongodb, Cassandra)
  • Deep understanding in the development of Machine Learning applications as well as solutions based on Big Data technologies such as Hadoop or Spark or their cloud-based equivalents
  • Very good English and good German skills as well as willingness to travel nationally
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