Data Engineer, Data RND Team

eMAG

. Develop AI tooling, including MCP servers, for domain BI modelling teams .

Posted 10/27/2026full-timeRemote • RomaniaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI tooling and infrastructure as code, with a strong focus on orchestration and deployment processes. Proficient in collaborating with data science teams to build and maintain platforms that enhance data engineering capabilities.

Highest-signal resume keywords

Data EngineeringApache AirflowGCP InfrastructureTerraformDataHub

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

OrchestrationDeploymentLakehousesMetadata-as-CodeAPIsLLM-Based ToolingReadable CodeMulti-Cloud EnvironmentsInfrastructure as Code

Soft Skills

End-to-End OwnershipCollaborationCode Review

Tools & Technologies

AirflowDataHubKeycloak SSO

Industry Keywords

Data CatalogMetadata PlatformInternal PlatformsHybrid Environments

Tech Stack

Tools & technologies

AirflowApacheCloudGoogle Cloud PlatformTerraform

About the role

Key responsibilities & impact

Develop AI tooling, including MCP servers, for domain BI modelling teams
Create libraries, packages, and custom orchestration in Airflow for the Data Science team
Develop the metadata-as-code setup and integrate it with DataHub
Help build and maintain GCP infrastructure using Terraform
Operate and evolve the multi-team Apache Airflow platform, including images, workers and queues, Keycloak SSO, and per-team isolation
Build foundations, tools, and processes that support other data teams across the platform

Requirements

What you’ll need

Proficient data engineer experienced with orchestration, deployment, lakehouses, and infrastructure as code
Comfortable owning work end to end, including deployments and infrastructure
Able to quickly read others’ code and infrastructure and write readable code
Advanced English proficiency
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 understanding their data engineering needs
Experience designing internal platforms, registries, or APIs used by other teams
Experience in multi-cloud or hybrid on-premises/cloud environments

Benefits

Comp & perks

Medical subscription: Medicover or Regina Maria
Flexible budget for meal tickets, holiday tickets, cultural vouchers, private pension, foreign language classes, eMAG, Fashion Days, Therme & Genius, gym memberships, and professional development classes
Discounts from banking, mobile, dental medicine, and wellness partners
Access to the Bookster library
Free credits on the Hilio psycho-emotional health platform
Access to over 100,000 curated online resources and platforms, learning academies, and development programs
New headquarters with an energizing and comfortable environment for hybrid work