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’ve grown very fast and are determined to keep doing so. What brought us here is our desire for continuous evolution and practical results.
More than 6000 colleagues are part of eMAG Teams. We strongly believe in people's development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning. We want to ensure that you’ll have the most talented colleagues and the proper environment to grow and achieve great results, to become what you desire on a personal and professional level. Join us, grow faster!
Data Engineer (Data RND Team)
We’re a small full-stack data engineering team that builds the foundations other data teams stand on.
We architect tools and processes that act as force multipliers across the platform.
What you’ll have to do:
- Develop AI tooling (MCP servers) for our domain BI modelling teams
- Create libraries, packages and custom orchestration in Airflow for the Data Science team
- Help develop our metadata-as-code setup and its integration with DataHub
- Help build and maintain our GCP infrastructure (Terraform)
- Operate and evolve our multi-team Apache Airflow platform (images, workers and queues, Keycloak SSO, per-team isolation)
What makes you a good fit:
- A proficient data engineer who knows their way around orchestration, deployment, lakehouses and infrastructure as code
- Comfortable owning things end to end: we are a full-stack DE team and handle our own deployments and infrastructure
- Able to read other people’s code and infra quickly, and to write code other people can read
- Advanced English proficiency
What makes you stand out:
- Hands-on experience with DataHub or another data catalog / metadata platform
- Experience building tools, APIs or LLM-based tooling for other teams
- Experience working alongside data science teams and knowing what they need from DE
- Experience designing internal platforms, registries or APIs that other teams depend on
- Multi-cloud or hybrid on-prem/cloud environments
What we’ve prepared for you:
- Medical subscription: Medicover or Regina Maria.
- A flexible budget that you can invest in yourself as you wish: meal tickets, holiday tickets, cultural vouchers, private pension, foreign language classes, eMAG, Fashion Days, Therme & Genius, membership to different gyms or even professional development classes.
- Different discounts from our partners: banking, mobile, dental medicine or wellness.
- Access to the Bookster library and free credits on the Hilio psycho-emotional health platform.
- An accelerated learning environment, with access to over 100.000 curated online resources and platforms, learning academies and development programs.
- New headquarters, where sleek design, natural light, and versatile spaces create an energizing and comfortable environment for hybrid work.
Curious to find out more about the next step in your career? Apply now and if your experience is relevant for the role you wish, we will give you a call for more details! Also, here you can find our confidentiality policy if you want to consult it.
Proficient data engineer with orchestration, deployment, lakehouse, and infrastructure-as-code skills; able to own end-to-end deployments; advanced English proficiency.
Key Responsibilities
- developing AI tooling
- building data infrastructure
- maintaining GCP infrastructure
Skills & Tools
Airflow, DataHub, Terraform, GCP, Keycloak, MCP
Job Details
- Category: Software Development
- Seniority: Mid Level
- Commitment: Full Time
- Workplace: Remote — Romania
- Languages: English
About eMAG
A fast-growing e-commerce company with a data engineering team building foundations for data teams. — Industry: Information Technology