Company Description Superfan.ng is an edtech learning platform focused on African languages and cultural knowledge. The platform uses a gamified, quiz-first experience to explore African proverbs, traditions, rites of passage, festivals, folklore, and customs. Designed for Africans and the global diaspora, Superfan.ng aims to make cultural learning engaging, interactive, and accessible. The team is building scalable technology that supports rich, culturally grounded content for diverse learners.

Joining

Superfan.ng means contributing to a mission-driven product that preserves and celebrates African heritage through modern digital experiences.

Role Description The Senior Data Engineer will design, build, and maintain scalable data pipelines and infrastructure that power analytics, personalization, and product insights across the Superfan.ng platform. This full-time remote role includes developing and optimizing ETL processes, modeling data for reporting and product features, and managing data warehouses and related services. Day-to-day tasks involve collaborating with product, engineering, and analytics teams to understand data requirements, implementing robust data quality checks, and ensuring reliable, well-documented datasets.

The Senior Data

Engineer will also troubleshoot data issues, improve performance and cost-efficiency, and advocate for best practices in data architecture, security, and governance. This role is key to enabling data-driven decisions that enhance the learning experience for users across Africa and the diaspora.





Qualifications

- Strong data engineering skills, including experience with contemporary data platforms, distributed processing frameworks, and pipeline orchestration tools.
- Proficiency in data modeling and data warehousing, with the ability to design efficient schemas that support analytics and product use cases.
- Hands-on experience with Extract Transform Load (ETL) processes and tools, including building, monitoring, and optimizing data pipelines.
- Applied data analytics skills, including querying large datasets, building dashboards, and partnering with stakeholders to translate data into insights.
- Advanced proficiency in SQL and at least one programming language commonly used in data engineering (e.g., Python or Scala).
- Experience with cloud-based data infrastructure (e.g., AWS, GCP, or Azure), including storage, compute, and managed data services.
- Knowledge of data security, privacy, and governance best practices, with experience implementing access controls and data quality frameworks.
- Ability to work independently in a remote, distributed environment, communicate clearly with technical and non-technical stakeholders, and mentor less experienced team members.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
- Interest in African languages, culture, or edtech products is beneficial, as is prior experience in consumer apps or learning platforms.

📌 Senior Data Engineer (India)
🏢 Superfan NG
📍 India