Responsible for supporting the design, development, and maintenance of data pipelines and infrastructure to ensure reliable, high-quality data availability across the organization. Assists with data integration, transformation, and quality monitoring while collaborating with stakeholders and developing foundational data engineering skills under close supervision.

• Assist in developing and maintaining ETL/ELT pipelines that ingest, transform, and load data from various sources to support analytics and reporting requirements. 
• Write clean, efficient, and well-documented SQL and Python code in line with established development standards and best practices. 
• Support data integration activities across data lakes, warehouses, and analytical platforms, ensuring reliable data availability. 
• Monitor pipeline performance, investigate issues, and escalate data quality or operational concerns as required. 
• Perform data validation and error-handling checks to ensure the accuracy, consistency, and reliability of data outputs. 
  
• Maintain documentation for data pipelines, workflows, and transformation processes. 
• Participate in code reviews and collaborate with team members to promote quality and continuous improvement. 
• Work closely with data analysts and data scientists to understand requirements and deliver data engineering solutions that support business needs.

• Bachelors degree in Computer Science, Computer Engineering, Information Technology, or a related field. 
• Fluent in English language.
• Proficiency in SQL and working knowledge of at least one scripting language (Python preferred)
• Familiarity with ETL/ELT concepts and data integration patterns
• Exposure to cloud platforms (AWS, GCP, or Azure) and common storage services
• Basic knowledge of data modelling and warehousing principles
• Understanding of version control practices using Git
• Strong attention to detail and commitment to data quality
• Eagerness to learn, receive feedback, and grow in a team environment
• Basic understanding of relational database systems (e.g., PostgreSQL, MySQL)

• With 1–2 years of experience in data engineering, software engineering, or a related technical role (including internships or academic projects). ITIL Certification is an advantage but not mandatory