Data Engineer

Founded in 2018 MaxAB is a rapidly growing food and grocery B2B ecommerce and distribution platform that serves a network of traditional retailers (momandpop stores) across the MENA region. Using proprietary technology MaxAB offers a transformative pulldriven supply chain and a techproduct that empowers both traditional retailers and suppliers. MaxAB offers traditional retailers the simplicity of dealing with one supplier transparent pricing ondemand delivery and a range of valueadded and embedded finance solutions. Suppliers benefit from MaxABs endtoend 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 largescale reliable data systems. Youll collaborate across engineering analytics and business teams to build robust pipelines implement bestinclass 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 highperformance data pipelines and workflows across the organization.
Design and maintain enterprisegrade 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 costefficiency.

Minimum Qualifications
4 years of experience in data engineering with a strong focus on building productiongrade data platforms.
Proven handson experience with Snowflakedesigning 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 fastpaced 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 realtime or streaming data tools (e.g. Kafka Kinesis).
Familiarity with analytics