Senior Data and Infrastructure Engineer📣 إعلان

About the Role

Ninja 🥷🏽 نينجا is seeking a Senior Data and Infrastructure Engineer to join its Data Team in Riyadh. This full-time position is central to transforming the company into a truly data-driven organization. The successful candidate will be responsible for designing and building scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.

Key Responsibilities

• Design, develop, deploy, and maintain scalable, open-source data solutions that support the rapidly growing international business.
• Build and evolve the data architecture to enable advanced analytics, reporting, and data-driven decision-making across the organization.
• Develop and optimize CDC / ETL/ELT pipelines for both batch and near real-time data processing.
• Support analytical and machine learning workflows by providing reliable and well-structured datasets.
• Integrate data from diverse sources, including transactional databases, third-party platforms, and external APIs (*, PostgreSQL, MySQL, Google Analytics, BigQuery, Google Ads, Adjust).
• Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards.
• Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open-source solutions.
• Evaluate and recommend new technologies (open source/managed), tools, and architectural approaches to enhance the data ecosystem.
• Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization.

Required Qualifications

• A Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline.
• At least 4 years of professional experience in Data Engineering, Data Warehousing, Data Ops, or a related field.
• Strong expertise in SQL (PSQL) and relational database concepts, including data modeling and query optimization.
• Experience designing and maintaining data warehouse architectures.
• Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing.
• Strong communication skills in English.

Technical Expertise

• Good hands-on experience with one of the major cloud platforms, with AWS preferred.
• Expert hands-on experience with Linux tools.
• Ability to deploy applications using Docker on bare metal servers.
• Hands-on experience with columnar databases and performance optimization techniques, such as ClickHouse, StarRocks, or similar technologies.
• Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow.
• Solid programming skills in Python or Java, with a preference for Python.
• Good understanding of Linux environments and scripting (Bash).
• Experience working with S3 compatible open-source solutions and managed solutions.

Work Environment and Collaboration

This role operates within an international and collaborative environment, focusing on solving complex data challenges and building robust platforms. The engineer will work closely with various data professionals and business stakeholders to ensure data quality and drive data-driven decision-making.

Application Information

Candidates who meet the above requirements and are interested in contributing to a data-driven transformation are encouraged to apply. Salary details will be discussed during the interview process.