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We’re recruiting for a forward-thinking tech team that’s building one of the most modern cloud analytics platforms in Europe. As a Data Engineer f ocused on Cloud Data Warehousing, you’ll help shape a scalable data mesh architecture that powers high-impact AI and business intelligence solutions.
You’ll work with t erabyte-scale relational data, enabling advanced data services—from deep learning models that predict customer demand to real-time analytics that drive strategic decisions.
📍 Hybrid Program – Bucharest | 🌐 GCP Ecosystem | 🧠 AI & Analytics-Driven
Ready to turn data into decisions? Apply now and let’s build the future together.
What You’ll Do :
- Build and optimize data pipelines in Google Cloud Platform using BigQuery, Dataflow, Python, and Kubernetes.
- Design and evolve a custom data management framework with layered architecture (data vault + business layer).
- Collaborate with Data Scientists, Analysts, and fellow Engineers to deliver clean, scalable, and business-ready data.
- Contribute to a self-built architecture using Google APIs / SDKs, GitLab CI / CD , and modern DevOps practices .
- Support streaming and messaging integrations ( Pub / Sub, Kafka ) for real-time data flows.
- Ensure high data quality and service reliability across the mesh and stakeholder-facing layers.
Your Profile :
5+ years of experience in data engineering within a cloud environment ( GCP preferred ).Strong Python skills and deep understanding of database architectures (MPP experience is a plus).Solid background in relational data management and data warehousing at scale .Familiarity with streaming / messaging tools (Pub / Sub, Kafka) .Analytical mindset with a structured, solution-oriented approach .Agile, proactive , and accountable in your work style.Fluent in English ; conversational German (A2+) is a bonus.