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Data Engineer Ref. No: 7925

Role Purpose

Responsible for quality assurance of engineering on the data platform to ensure continued service delivery versus expectations. An understanding of engineering stages for a data platform.

Region: Kraków, małopolskie


Requirements

  • 0-3 years of developer/engineering background of large-scale distributed data processing systems (or experience in equal measure).
  • Knowledgeable about data modelling, governance, security, access, and storage.
  • Programming in one or more languages within our data eco-system e.g. Python.
  • Implement cloud data technologies on either GCP, Azure or AWS.
  • Worked in an Agile delivery framework.


Responsibilities

  • Work in an agile development team, pairing with other data engineers, test engineers and other non-technical team members.
  • Develops and constructs data assets and services and integrates them into systems and business processes.
  • Builds/develops the solution within the Product team following the technical and functional specifications in the User Story.
  • Actively seeks for driving a team spirit who will be delivering the Sprint on time and for the planned demand.
  • Contributes to code peer review to ensure the integrity and stability of the data platform
  • Use Test-driven Development to design and develop operationally maintainable solutions and evolution of overall technology solution.
  • Provides urgent support and escalation for any issues in the production environment


We offer

  • Private medical healthcare (including dentalcare) for you and your family
  • Medicover sports card (Fit&More package)
  • Life insurance financed by the employer
  • 30-minute lunch break included in the 8-hour working day
  • Work in a highly professional and stimulating atmosphere
  • Training & Buddy programme that will allow you to quickly adapt to your new role
  • Wellbeing programme for employees
  • Co-financing of monthly tickets for the public transport in Krakow
  • Comfortable working environment in the office and the possibility of home office
  • Language courses, accounting courses, access to LinkedIn Learning and the possibility of co-financing studies and certification
  • Employee referral programme
  • Hybrid working model