Role: Data Engineer

Key Responsibilities

Collaborate closely with stakeholders to understand business questions and clearly specify key metrics and acceptance criteria for reporting solutions
Build and maintain the core data backbone by integrating multiple Finance data systems using PySpark and tools within the Palantir Foundry environment
Develop comprehensive data and reporting solutions that address business requirements for the wider Finance organization
Implement testing strategies to ensure deliverables meet specifications, including system performance and report timeliness
Ensure smooth operation of existing reporting platforms through structured change management activities

Required:

5-9 years of working experience in data engineering and reporting
Proficiency in PySpark for data processing and management
Experience with Palantir Foundry
Knowledge of Spark and optimizing spark-based pipelines
University degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, or Information Technology)
Excellent command of spoken and written English with ability to present to senior management

Data Engineer