DevOps Engineer - Big Data Frameworks

I’m interested


Krakow, Poland

Seniority level


Workplace policy


Job description


Our data engineering teams together with data scientists are working on advanced systems capable of collecting and processing huge amounts of data, finding patterns, reasoning and acting faster than humans by using machine learning algorithms that can incrementally get smarter each time new data enters the system. We are a group of people passionate about the science 'behind the bet', always outcome-oriented and focused on solving real-world problems based on data and advanced analytics.


Your role in the team  


We are building a world-class Big Data platform that will give us the power to process streams of data and enable machine learning and advanced analytics capabilities. Everything cloud-based for scalability and speed to market.


As a DevOps engineer for Big Data Frameworks, you’ll be working on the creations of tools and processes that will enable other teams and end-users to provide business value. You will take care of designing and implementing distributed components integration, security, log aggregation, CICD pipelines. You will be working with AWS cloud.


Skills needed:




  • Practical, hands on experience with Python and development of big scale applications
  • Good understanding of OOP coding concepts and design patterns
  • Good grasp of software engineering practices


Nice to haves:


  • Experience with Big Data technologies
  • Experience with Cloud technologies



What we offer


  • Long term flexible working practices - Our employees have the opportunity to work from home with some office time built in to ensure we get some face to face collaborative team time
  • Possibility to work with latest Cloud technologies and build comprehensive Data Platform from scratch
  • Growth within technical area and leadership – it is your choice where you want to go
  • Flexible employment (B2B or Employment Contract to choose from)
  • Creative rights scheme
  • IT conferences, internal trainings, lunch and learn sessions and an individual training budget