All vacancies
Regular Data Engineer
EPAM Systems
Bulgaria · On-site · relocationSalary not disclosedfull-timeEPAM Systems Careers (offices abroad)
We are looking for a motivated Data Engineer to join our growing Data Engineering team. You will work as part of one of our Platform Teams, developing and maintaining data pipelines in Databricks with PySpark on Microsoft Azure for the AI Factory team.
Responsibilities
- Develop and maintain data pipelines in Databricks with PySpark on Azure
- Support the design and implementation of cloud-based analytical solutions using Big Data and NoSQL technologies
- Assist in building and maintaining data lakes and warehouses to ensure reliability and performance
- Participate in the development of ETL/ELT workflows to collect, clean, and structure data
- Help implement data quality, lineage, and monitoring frameworks
- Collaborate with ML and analytics teams to deliver clean, production-ready datasets
- Participate in code reviews and follow technical standards and best practices
- Work with CI/CD methodologies in data engineering workflows using tools like Jenkins or GitLab CI/CD
- Collaborate with architects, technical leads, and cross-functional teams to deliver solutions aligned with requirements
- Engage with stakeholders to understand processes and ensure deliverable alignment
Languages
- Work format
- On-site
- Seniority
- Mid
- Posted
- 29 Sept 2026
- Last verified
- In the last 5 days
Similar roles
- Senior Data EngineerOpinov8 · Remote · worldwide, UTC+4 accepted
- Junior Data EngineerAccedia · Remote · worldwide, UTC+4 accepted
- AI Engineer / IA Data EngineerReady · Remote · worldwide, UTC+4 accepted
- Data Engineer w/ DatabricksCodest Ltd. Company No. 12590542, VAT number: GB363431020 · Remote · worldwide, UTC+4 accepted
- CUDA / AI EngineerMWDN · Armenia · On-site
- Security Junior AnalystViva Armenia · Armenia · On-site