Principal Data Engineer
UiPath
full-time
Posted on:
Location Type: Hybrid
Location: Bucharest • Romania
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Job Level
About the role
- Own and evolve the architecture of our modern data platform (Fabric-based lakehouse environment)
- Lead complex, cross-functional data initiatives end-to-end with minimal oversight
- Define and enforce engineering standards, modeling best practices, and performance optimization
- Design and optimize scalable ELT pipelines and dimensional data models
- Drive platform reliability, governance, and cost-performance balance
- Evaluate and introduce new tools and architectural improvements
- Act as a technical leader and mentor within the data organization
- Partner with Finance, Sales, and other stakeholders to translate business strategy into scalable data solutions
Requirements
- 7+ years of experience in data engineering / data platform roles
- Expert-level SQL skills (mandatory)
- Good working knowledge of Python and/or PySpark
- Proven experience designing and operating modern cloud-based data platforms (e.g., Fabric, Databricks, Snowflake, Synapse, Redshift, BigQuery, etc.)
- Strong understanding of lakehouse architecture and ELT patterns
- Experience building scalable dimensional models and enterprise-grade data solutions
- Experience integrating complex enterprise systems (ERP, CRM, HRIS, etc.)
Benefits
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonPySparkELT pipelinesdimensional data modelsdata architectureperformance optimizationdata governancecloud-based data platformslakehouse architecture
Soft Skills
leadershipmentoringcross-functional collaborationcommunicationstrategic thinking