Job Description, Responsibilities & Requirements
About the Position
We are seeking a Senior Data Engineer with deep expertise in Azure Fabric, PySpark, and AI-driven data platforms to join our team in Romania.
This role focuses on designing, building, and optimizing scalable data pipelines and analytics solutions, collaborating with architects, engineers, and business stakeholders to deliver modern, AI-integrated data solutions.
Responsibilities
- Design, develop, and maintain scalable data pipelines using Azure Fabric
- Implement data processing and transformation with Python, PySpark, and SparkSQL
- Utilize OneLake (Delta / OpenLake) for efficient data storage and analytics
- Develop and support solutions leveraging Cosmos DB (NoSQL API)
- Contribute to Fabric workloads such as Data Engineering, Data Factory Gen2, and Lakehouse
- Implement and maintain CI/CD pipelines following DevOps best practices
- Integrate data solutions with Power BI for reporting and analytics
- Collaborate with AI, data science, and product teams to support AI-driven use cases
- Ensure data quality, performance, security, and reliability
- Participate in Agile ceremonies and contribute to sprint delivery
- Support production issues and drive continuous improvements
Requirements
- 5+ years of experience in Data Engineering or related engineering roles
- Strong hands-on experience with Azure Fabric
- Proficiency in Python, PySpark, and SparkSQL
- Experience with Cosmos DB (NoSQL API) and OneLake / Delta Lake (OpenLake concepts)
- Knowledge of DF Gen2 and M-code
- Experience with CI/CD pipelines using Azure DevOps or equivalent
- Good understanding of Azure services and Power BI integration
- Strong problem-solving and analytical skills
- Ability to work independently on complex tasks
- Clear communication and collaboration skills
- Ownership mindset with attention to quality and performance
- Experience working in Agile or Scrum environments
- Upper-Intermediate English language proficiency (B2)
Nice to Have
- Experience with code generation, including non-AI and AI-assisted approaches
- Expertise with other Cosmos DB variants such as Mongo, Cassandra, or Table APIs
- Exposure to Azure AI Foundry and Data Science workflows
- Strong background in Big Data and Spark ecosystems
- Knowledge of financial instruments and financial services data
- Hands-on experience with industry-standard LLMs such as GPT, Claude, or similar
We Offer
- Opportunity to work with cutting-edge technologies
- Collaborative and innovative work environment
- Competitive compensation package
- Professional growth and development opportunities
About the Company
EPAM Systems is a global software engineering and product development company, delivering digital platforms and solutions to clients across various industries. We are committed to fostering a culture of innovation, collaboration, and excellence.