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Data Engineer (m/f/d)

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Full Remote
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Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field., Experience with Big Data technologies and Data Warehousing., Proficiency in cloud platforms such as AWS, Azure, or Google Cloud., Familiarity with DevOps practices and machine learning algorithms..

Key responsabilities:

  • Support the implementation of customer products related to Big Data and Data Engineering.
  • Build and maintain scalable Data Platforms and ML Platforms.
  • Create specifications, code, and presentations for solutions throughout the project lifecycle.
  • Participate in communities of practice and hackathons within the Reply network.

Machine Learning Reply GmbH logo
Machine Learning Reply GmbH Scaleup https://www.reply.com/machine-learning-reply/de/#
51 - 200 Employees
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Job description

At Machine Learning Reply Poland we strive to work on leading-edge data science projects with our clients for which we are seeking engineering consultants to work on Machine Learning products.

Machine Learning Reply, with its sister company in Italy and over 8500 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Data Science 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 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 modeling using machine learning algorithms.

We have extensive expertise in the broad Data Science 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.

Tasks:

  • You will support the successful implementation of customer products related to Big Data, Data Engineering, and/or Data Warehouses.
  • Build and maintain scalable Data Platforms and ML Platforms on Cloud (AWS, Azure, Google Cloud) or on-premise, considering DevOps paradigms.
  • You enjoy brainstorming, conceptualization and final implementation. You therefore love 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:
  • 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)
  • Training and certification encouraged
  • Home-office contracts
  • State of the art work equipment

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Communication
  • Problem Solving

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