Data / Backend Engineer (Python, API & Analytics Focus)

Overview

• Design, develop and maintain APIs to support data-driven applications and integrations
• Build and manage scalable data models, schemas, and data structures
• Develop, optimize and maintain databases using SQL and MongoDB
• Design and implement ETL pipelines for data ingestion, transformation and processing
• Gather user requirements and translate business needs into technical solutions
• Provide user support for dashboards and data applications (troubleshooting, issue resolution)
• Support and maintain dashboards, ensuring data accuracy, reliability and performance
• Perform data validation, debugging and root cause analysis
• Ensure best practices in code quality, documentation and version control

Qualifications

• Degree in Computer Science or related field (preferred)
• Proficient in Python for data processing and backend development
• Experience in API development (e.g. RESTful services)
• Strong understanding of data modelling and data structures
• Experience in ETL development and data pipeline design
• Experience with SQL and NoSQL databases (e.g. MongoDB)
• Good communication skills for requirements gathering and user support
• Strong problem-solving skills and attention to detail
• Experience in dashboard tools (e.g. Qlik Sense) is an advantage
• Familiar with backend frameworks (e.g. FastAPI, Django) is a plus

Experience: 3 years