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Senior Data Engineer

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Qubiz

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Location:
Romania , Cluj-Napoca ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are looking for a Senior Data Engineer to design and build scalable, cloud-native data platforms. You will work with modern data architectures and process large-scale datasets to power analytics and business intelligence. This is a hands-on technical leadership role with strong ownership over architecture, pipelines, and data quality.

Job Responsibility:

  • Design and implement end-to-end data pipelines (batch & streaming)
  • Build and maintain data lake / Lakehouse architectures using modern cloud tools
  • Implement Medallion Architecture (Bronze, Silver, Gold layers) for scalable data processing
  • Process and optimize high-volume datasets using Apache Spark (PySpark) or SQL
  • Develop robust data models for analytics and reporting
  • Ensure data quality, governance, lineage, and security
  • Integrate and leverage AI tools (LLMs, embeddings, ML pipelines) where relevant
  • Collaborate with analysts, data scientists, and stakeholders to deliver insights
  • Optimize pipelines for performance, scalability, and cost efficiency
  • Build automated data pipelines and workflows (DataOps mindset, CI/CD)
  • Mentor junior engineers and drive best practices

Requirements:

  • 5+ years experience in Data Engineering or similar roles
  • Strong expertise in Python, Apache Spark / PySpark, and SQL & Data Warehousing concepts
  • Proven experience with Data Lakes, large-scale data processing, and Medallion architecture
  • Hands-on experience with Microsoft ecosystem: Microsoft Fabric / Azure Data Services / Synapse / Data Factory
  • Experience with Power BI or similar BI tools
  • Strong understanding of ETL/ELT pipelines, data modeling, and performance optimization
  • Experience with real-time or near real-time data pipelines
  • Experience working with AI/ML-enabled data platforms
  • Familiarity with LLMs (e.g. GPT-based tools), embeddings, or vector databases

Nice to have:

  • Experience with Databricks
  • Experience with DBT
  • Experience with streaming tools (Kafka, Event Hubs)
  • Familiarity with automation of data pipelines (DataOps, orchestration tools)
  • Infrastructure as Code (Terraform, ARM)
  • Data governance tools
What we offer:
  • Real responsibilities and challenging projects
  • Friendly environment suited for professional and personal development
  • Clear paths and real help in your professional development
  • Training and certifications
  • Fun team-building sessions
  • Private health insurance
  • 50% discount for gym or sports pass of your choice
  • Fresh fruit on your table every day

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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