A pioneer of the Romanian market, eMAG was founded in 2001 in Bucharest and has well-established businesses in Bulgaria and Hungary. For almost 20 years, the company has been constantly investing in technology-based services developed in Romania that help customers save time and money. With a range of products continuously expanding through own offer as well as through its partners in the Marketplace, eMAG is the place where anybody can search and order anything, from anywhere.

Data Engineer (Business Intelligence, Data Science Team) | eMAG
  • Work place: Office centric

  • Collaboration: Employment contract

  • Work time: Full Time

  • Seniority: Team member

  • Updated on: 1 year ago

  • Vacant from: 11 Feb, 22

  • Expires on: 20 Jun, 23

  • Pay: Negotiable

  • Categories: Data science

  • Size:> 500 employees

  • Industry:Retail

Market (net €/month)
  • Only Loginro members with a minimum completed profile that share their salary expectations for this position may access its industry median pay.

eMAG is looking for a highly motivated and experienced colleague to join our Data Science team. You will join the team responsible for driving the data and AI-driven future of our marketing, operational, and commercial activities.

Our cross-functional team of Data Scientists, Data Engineers, and Product Managers has the end-to-end responsibility for the products, from research and analysis to testing and deployment.

You will bring your experience in developing database solutions and prototypes. You will be working on exciting real-world problems with a measurable short-term and long-term impact.


Bring Your Skills

  • You hold a degree in  a quantitative field;
  • SQL and/or Scala. Python is a plus;
  • Functional programming and OOP;
  • Relational and non-relational databases. AWS/Google Cloud is a plus;
  • GIT;
  • Ability to create innovative technical concepts to solve challenging problems. You are passionate to develop a great product as part of an agile team;
  • Storyteller. You are an excellent communicator, who is proactive in solving customer-centric problems in collaboration with business. Your strong analytical skills help you easily translate data insights into business opportunities;
  • You are a scholar. You hold subject expertise in developing, constructing, testing, and maintaining architectures;
  • You are a self-motivated, proactive, with a can-do attitude person.


Responsibilities: What you will actually do

  • Develop, construct, test, and maintain architectures;
  • Align architecture with business requirements;
  • Data acquisition;
  • Develop data set processes;
  • Use programming language and tools. SQL, Scala, Dremio, Spark, AWS;
  • Identify ways to improve data reliability, efficiency, and quality;
  • Conduct research for industry and business questions;
  • Use large data sets to address business issues;
  • Prepare data for predictive and prescriptive modeling;
  • Find hidden patterns using data;
  • Use data to discover tasks that can be automated;
  • Deliver updates to stakeholders based on analytics;
  • Create technical documentation of each project;
  • Continuously learn new technologies;
  • You will be part of an experienced Data (Science) team;
  • You will make a difference in how the business takes decisions.



We’re always looking for the ones truly passionate about their work. If you are amongst them, you can rest assured there is a place for you in eMAG. We grew very fast and we are determined to keep doing so. What brought us here is our desire for continuous evolution and practical results. At eMAG, a set of strong principles guide our daily work: we understand the client, we think like a successful entrepreneur, we make decisions supported by data, we assess the impact of our projects, we act responsibly, we support each other and we grow with the business. They define us and help us become the favorite shopping destination for our clients.  

Over 5200 people are working now in eMAG. We strongly believe in people development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning. We want to make sure that you’ll have the most talented colleagues, as well as the proper environment to grow and achieve great results, to become what you desire on a personal and professional level.

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