Principal Data Engineer

UiPath

Bucharest, Romania

Your mission

You as a Principal Data Engineer will shape and evolve our modern data platform. This is a senior individual contributor role with high strategic impact, strong architectural ownership, and clear expectations around leadership influence, initiative, and autonomous execution.

What you'll do at UiPath

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

What you'll bring to the team

Core Requirements:

7+ years of experience in data engineering/data platform roles
Expert-level SQL skills (mandatory) - advanced transformations, optimization, scalable modeling
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.)

Platform Context:

We currently operate on Microsoft Fabric (Lakehouse, Pipelines, Notebooks, Data Warehouse)
Direct Fabric experience is a plus - but experience in similar modern distributed/cloud data platforms is expected, along with the ability to quickly adapt and lead within Fabric