Data Engineer II

Who Are We

Welcome to the world of Mrsool! 🌍✨ Where on-demand delivery meets unparalleled user needs to deliver anything you desire. As one of the largest delivery platforms in the Middle East and North Africa (MENA) region, Mrsool has captivated users with its unique and seamless experience, earning it the highest ratings among all major delivery platforms on both Apple's App Store and Google's Play Store. 🌟📲

What sets Mrsool apart is its commitment to providing an unmatched "order anything from anywhere" experience. 🌐📦 This extraordinary feat is made possible by our extensive fleet of dedicated on-demand couriers. With their unwavering dedication, they ensure that your desired items reach your doorstep, no matter where you are. 🚗🚲

Whether it's a late-night craving, a forgotten item, or a special gift for a loved one, Mrsool is here to deliver, quite literally. 😋🎁 We take pride in the convenience we offer, empowering you to get what you need when you need it, all at the tap of a button. 💪🏼💫

The Job in a Nutshell 💡

We're looking for a passionate Data Engineer II to help build and scale the data platform that powers analytics, product insights, and data-driven decision making across the organization.

You'll work on modern data technologies including Kafka, Maxwell, Spark, S3, Trino, BigQuery, dbt, and Metabase to build reliable, scalable, and high-performance data systems. From real-time data ingestion and distributed data processing to dimensional modeling and data platform development, you'll play a key role in shaping the foundation of our data ecosystem.

As part of the Data Engineering team, you'll design and build robust data pipelines, implement modern data lake architectures, develop reusable data models, and create trusted datasets that empower Product, Analytics, Data Science, and Business teams. You'll also contribute to improving our engineering standards by focusing on performance, reliability, observability, automation, and developer experience.

This role is ideal for someone who enjoys solving complex data engineering challenges, building scalable platforms, and continuously improving how data is collected, transformed, and consumed across the organization.

If you're excited about building modern data platforms, working with large-scale distributed systems, and having a meaningful impact on the company's data strategy, we'd love to hear from you.

What You Will Do ❓

Design, build, and maintain scalable batch and real-time data pipelines using Maxwell, Kafka, Spark, and dbt to power analytics and business-critical applications.

Develop and optimize data models following Medallion Architecture (Bronze, Silver, Gold) to create reliable, reusable, and high-quality datasets.

Build and maintain cloud-native data platforms using S3, Spark, Trino, and BigQuery, ensuring scalability, reliability, and cost efficiency.

Design robust data ingestion frameworks leveraging CDC (Maxwell), Kafka, and event-driven architectures to support near real-time data processing.

Create, optimize, and maintain data warehouses and data marts that enable fast, reliable reporting and self-service analytics.

Partner closely with Product Managers, Data Analysts, Backend Engineers, and Business stakeholders to translate business requirements into scalable data solutions.

Develop reusable dbt models, testing frameworks, and documentation to improve data quality, governance, and developer productivity.

Optimize Spark jobs, Trino queries, and storage layouts for performance, reliability, and cost efficiency.

Own the end-to-end lifecycle of critical data pipelines, ensuring high availability, monitoring, SLA adherence, and proactive incident resolution.

Build and enhance the core data platform by developing reusable frameworks, automation, CI/CD pipelines, and engineering best practices.

Ensure data quality through validation, monitoring, lineage, and observability while implementing best practices for security and governance.

Enable analytics teams by delivering trusted datasets, semantic models, and dashboards that power decision-making through Metabase.