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, you will take a lead role in designing and implementing large-scale, reliable data systems. You’ll collaborate across engineering, analytics, and business teams to build robust pipelines, implement best-in-class architecture, and shape the future of our data stack. This role is ideal for someone who thrives on autonomy, scale, and solving hard data problems with elegance.
Key Responsibilities:
● Architect, build, and manage scalable, secure, and high-performance data pipelines and workflows across the organization.
● Design and maintain enterprise-grade data models and ETL/ELT frameworks optimized for analytics and reporting use cases.
● Own the data infrastructure in AWS, and ensure seamless integration with Snowflake and other internal systems.
● Drive best practices in data governance, quality, security, and observability across the data lifecycle.
● Collaborate with stakeholders to translate business needs into technical solutions with measurable impact.
● Mentor junior engineers and help define engineering standards, code reviews, and architectural decisions.
● Evaluate and recommend new tools, frameworks, and practices for improving data workflows and infrastructure.
● Proactively monitor and improve pipeline performance, reliability, and cost-efficiency.
Minimum Qualifications
● 4+ years of experience in data engineering, with a strong focus on building production-grade data platforms.
● Proven, hands-on experience with Snowflake—designing schemas, optimizing queries, managing roles and warehouses.
● Strong working knowledge of AWS services including S3, Redshift (if applicable), Lambda, Glue, and related tools.
● Proficiency in SQL and one or more programming languages: Python is preferred, but Java or Scala also acceptable.
● Solid experience with orchestration tools like Airflow and transformation frameworks like dbt.
● Deep understanding of data modeling, warehousing principles, and performance optimization techniques.
● Ability to balance speed with reliability and scalability in a fast-paced environment.
● Excellent communication and collaboration skills, with a proven ability to lead by influence.
Nice to Have
● Experience with CI/CD practices for data pipeline deployments.
● Exposure to real-time or streaming data tools (e.g., Kafka, Kinesis).
● Familiarity with analytics