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About the role:
As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.
Design, build, and optimize enterprise data pipelines and lakehouse solutions aligned to client’s data architecture, governance standards, and cloud-first strategy. Partner with cross-functional teams to deliver secure, scalable, and high-quality data solutions that enable analytics, reporting, and AI-driven capabilities.
Responsibilities:
- Design, develop, and maintain scalable ETL/ELT pipelines across enterprise systems including ERP, CRM, and operational platforms
- Build and support client’s cloud-based data lakehouse architecture (aligned to medallion layers and governance standards)
- Develop and maintain data models, semantic layers, and curated datasets for analytics and business intelligence
- Translate business requirements into technical data solutions in collaboration with product, engineering, and business stakeholders
- Ensure data quality, integrity, and security in alignment with client;s data governance and compliance standards
- Optimize SQL queries, data pipelines, and storage performance across AWS and Azure platforms
- Support data integration initiatives including Data Lake, D365 ERP, and CRM/AMS platforms
- Monitor pipeline health, troubleshoot issues, and ensure high availability and reliability of data systems
- Contribute to continuous improvement of data architecture, standards, and best practices
- Support AI and analytics initiatives by enabling high-quality, accessible data for downstream consumption
Requirements:
- Non-Technical Requirements:
- Ability to establish positive working relationships with multiple disciplines of Information technology department & staff levels
- Demonstrated ability to collaborate and receive feedback regarding ongoing projects
- Demonstrated ability to respond to business issues with the appropriate sense of urgency
- Sense of when to escalate a problem or ask for assistance
- Organized, self-starter with outstanding written and verbal communication skills
- Problem solving skills and strong attention to details
- Ability to identify and document business/system requirements
- Ability to work in a high energy, team focused environment
- Ability to work and deliver against aggressive timelines to meet the project schedules
- Ability to work productively from home (including access to a reliable internet connection) is required
- Essential Skills and Education / Experience:
- Bachelor’s degree in Computer Science, Information Systems, or related field
- 4+ years of experience in data engineering or data platform development
- Strong experience designing and building ETL/ELT pipelines in cloud environments
- Hands-on experience with AWS (S3, Redshift, Glue, DMS) and Azure (Data Factory, SSIS)
- Strong proficiency in SQL and relational database design
- Solid understanding of data warehousing, data lakes, and lakehouse architecture
- Experience with structured, semi-structured, and unstructured data processing
Location and Hiring Model
- Locations ONLY: Romania, Bulgaria, Poland
- Hiring Model: Direct Hire ONLY (B2B, FOP)
Last Updated: July, 2026
