Data Platform Engineer

Your future tasks:

• Develop and deploy Cloud solutions for handling large and unstructured data sets
• Fine-tune and validate Data Warehouse/ Big Data solutions within a Continuous Integration/ Continuous Delivery framework
• Oversee the smooth transition of data infrastructure from on-premises environments to public Cloud platforms
• Create Data, AI, and ML applications, alongside Generative AI solutions
• Implement Infrastructure as Code principles to automate provisioning and management processes effectively

Frequently used technologies:

• Cloud: Azure, AWS, GCP
• Python
• IaC: Terraform, Bicep, CloudFormation
• SQL

Our requirements:

• Minimum of 3 years of experience in DevOps within Cloud Data Engineering projects, with a focus on provisioning Cloud Infrastructure and establishing CI/CD environments
• Practical knowledge of at least one Public Cloud platform in Storage, Compute (+Serverless), Networking and DevOps areas supported by commercial project work experience
• Good knowledge of Python
• Very good command of English

What have we prepared for you?

• Private medical care and life insurance with ability to buy additional packages (e.g., dental care, senior care, oncology) on preferential terms
• Bonuses for recommending your friends
• Access to Inspiro app with rich audiobooks database
• Access to our NAIS benefit platform (40+ options available: Netflix, Spotify, MultiSport, cinema tickets, etc.)
• 70+ training tracks with certification opportunities (e.g. MS Azure, AWS, Google) on our NEXT training platform
• Platform with free access to Pluralsight, TED TalksCoursera materials and trainings
• Free access to Udemy Business account with ability to use during and outside working hours
• Transparent performance management policy
• No official dress-code
• Day off for volunteering
• Ability to implement world-changing initiatives thanks to our Grant Program