Founded in 2018, MaxAB is a rapidly growing food and grocery B2B e-commerce and distribution platform that serves a network of traditional retailers (mom-and-pop stores) across the MENA region. Using proprietary technology, MaxAB offers a transformative pull-driven supply chain and a tech-product that empowers both traditional retailers and suppliers. MaxAB offers traditional retailers the simplicity of dealing with one supplier, transparent pricing, on-demand delivery, and a range of value-added and embedded finance solutions. Suppliers benefit from MaxAB's end-to-end supply chain solutions and business intelligence tools that allow them to accurately predict, monitor, and control the impact of their strategies in real time.
Our MaxAB talent are dedicated to uphold the MaxAB culture and values all while continuing to grow and improve services for our clients. They are innovating new ways to help improve the quality of life of the Egyptian retailer and soon to other retailers globally.
If you are passionate about working hard to make an impact and innovate new solutions, MaxAB is looking for top talent.
Role Overview: As a Data Engineer at MaxAB, you'll be responsible for designing, building, and maintaining scalable data pipelines that support the flow of information across various systems. Your work will enable data-driven decision-making and help develop robust data infrastructure that supports analytics, reporting, and machine learning initiatives.
Responsibilities
- Develop, maintain, and optimize data pipelines for efficient data extraction, transformation, and loading (ETL).
- Collaborate with data analysts, BI engineers, and cross-functional teams to understand data needs and build solutions that scale.
- Implement and manage data integration processes between various internal and external sources.
- Ensure data accuracy, consistency, and security throughout the data lifecycle.
- Work on data modeling and architecture design to facilitate high-performance analytics.
- Monitor data pipeline performance and implement improvements to maximize reliability and efficiency.
- Stay current with industry trends and emerging technologies in data engineering and analytics.
Qualifications
- Bachelor's degree in business informatics, Computer Science, Data Science or any related Field.
- 0-2 years of experience in Data Engineering or relevant Field.
- Strong proficiency in SQL and experience with data warehouses (e.g., Snowflake, Redshift, BigQuery).
- Hands-on experience with ETL tools such as Apache Airflow, dbt, or similar frameworks.
- Solid programming skills in Python, Java, or Scala.
- Knowledge of data modeling techniques and best practices for building scalable data solutions.
- Familiarity with cloud services (e.g., AWS, GCP, Azure) for data storage and processing.
- Problem-solving aptitude and strong analytical skills.
- Ability to work effectively with both technical and non-technical teams to deliver impactful solutions.
