1648 consists of a core team and a network of top-class experts, entrepreneurs, and talents from a wide range of fields. Retail, lifestyle, architecture, marketing, web design, conception — for many topics we have specialists directly in the neighborhood. And a worldwide network of many other specialists who work with us.
14 апреля 2021

Data Engineer

Львов, удаленно

Необходимые навыки

It requires you to work independently, focus on simplicity, agility with decision-making stakeholders and act as a sparring partner to other team members:
— Bachelor’s degree in Computer Science
— Information systems with 5+ years of experience with advanced data management platform (e.g., Hadoop, AWS Redshift, Google cloud platform)
— Understanding of traditional DB platforms like Business Warehouse, SQL, DB2, etc.
— Deep expertise in data modeling and structuring, experience in high volume data environments
— Proficiency in programming languages e.g. Python (especially Pandas and NumPy libraries)
— Ability to quickly learn new technologies
— English speaking level

Будет плюсом

🚀Experience with Tech Stack:
— Hadoop, AWS Redshift
— Python (especially Pandas and NumPy libraries)
— Amazon SageMaker, Athena, Glue
— Hybris Platform


— Stable project
— Remote work
— Business trips (haha, let’s wait for it)
— Direct work with a dedicated team
— German working culture (no overtimes)
— Transparent interview process with meaningful feedback


— Analyse & profile data to design scalable solutions
— Help the Team troubleshoot complex data issues & perform root cause analysis to proactively resolve product & operational issues
— Implement data models & data structures needed for each use case as defined by the scrum team, in the most convenient format to be used by the end-user (e.g. Data Scientist/Insight Manager)
— Implement complex automated workflows and routines using workflow scheduling tools
— Build continuous integration, test-driven development, and production deployment frameworks
— Participate in collaborative reviews of design, code, test plans, and dataset implementations performed to support the Team in maintaining the best data engineering standards

О проекте

We are looking for a data engineer for building a marketing data platform and enabling the data pipelines required to satisfy our analytical and business intelligence use cases. This is a new role in a new Team on the long-term project, with business trips (hopefully, it’s going to happen soon), focused on simplicity, agility with decision-making stakeholders is in Global e-commerce corporation with its own manufacturing with representation in almost all countries and Headquarters in Lichtenstein.

Solve technical problems that arise when marketers, data scientists, and analysts try to develop new models. The candidate must have a technical focus, skilled with Python and AWS to solve issues related to the Customer’s datasets. The Team consists of 5-10 people in the “Digital Performance Intelligence” department.