Senior Data Engineer - ETL/ELT in Bulgaria

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 

   

Technical Requirements (Must Have):

• 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 

   

Non-Technical Requirements (Nice to Have):

• 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

   

Location and Hiring Model

• Locations ONLY: Bulgaria
• Hiring Model: Direct Hire ONLY (B2B)