Junior Data Engineer

Overview

Enthusiastic Junior Data Engineer joining Fourth’s Enterprise Data & Intelligence team in Sofia to design, build, and maintain data pipelines that power a single source of truth. You’ll grow under a Senior Data Engineer, expanding your skills on an Azure-based data platform and progressing toward independence. You work on well-scoped ETL/ELT tasks, contribute to Bronze/Silver layers in a Medallion Architecture, and ensure data quality and documentation. This role offers mentorship, production exposure, and a path to a full Data Engineer position within a high-visibility AI-focused initiative.

Pay / Benefits

• 25 holidays with potential to reach 30
• flexible and hybrid working
• wellness activities and gym discounts
• laptop and equipment provided
• healthcare expense claim tools
• opportunities for certifications

Responsibilities

• Build and maintain scalable ETL/ELT pipeline components (batch) on Microsoft Fabric and Azure Data Factory under guidance
• Write clean T-SQL and Python/PySpark for clearly scoped tasks following coding standards
• Contribute to Bronze and Silver layers in the Medallion Architecture with review before production
• Write and run basic data validation and automated tests for pipelines
• Document work with naming, lineage notes, and contextual READMEs
• Flag data quality issues and avoid silent workarounds
• Collaborate with Data Analysts to understand downstream consumption
• Engage in code reviews and team standards discussions
• Gradually take on larger, less-scoped pipeline work and gain proficiency with Git-based version control and CI/CD for data assets
• Leverage AI-assisted development tools under guidance for learning and delivery

Key requirements

• 1–2 years of experience in data or software engineering or related roles
• Working knowledge of SQL (T-SQL preferred) and Python
• Basic understanding of relational databases and data modelling
• Exposure to Azure or similar cloud platforms
• Familiarity with Git or another version control system
• Strong documentation instincts and proactive communication

• Curiosity and willingness to ask questions
• Strong documentation habits
• Proactive and timely communication
• SQL (T-SQL preferred)
• Python
• Azure Data Factory or Microsoft Fabric

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