Data Warehouse Engineer (f/m/d)📣 Job Ad

About the Role

Ninja is seeking a Data Warehouse Engineer (f/m/d) to join its Data Team. This role is central to transforming Ninja into a data-driven organization by designing and building scalable data solutions. The engineer will provide business teams with reliable, high-quality data and actionable insights, addressing complex data challenges and developing robust platforms in a collaborative, international setting.

Key Responsibilities

• Design, develop, and maintain scalable data warehouse solutions to support a growing international business.
• Build and evolve the enterprise data warehouse to enable advanced analytics, reporting, and data-driven decision-making.
• Develop and optimize ETL/ELT pipelines for batch and near real-time data processing.
• Support analytical and machine learning workflows by providing reliable and well-structured datasets.
• Integrate data from various sources, including transactional databases, third-party platforms, and external APIs such as Google Analytics, BigQuery, Google Ads, Adjust, PostgreSQL, MySQL, and others.
• Collaborate with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards.
• Monitor, troubleshoot, and improve the performance, reliability, and scalability of the data platform.
• Evaluate and recommend new technologies, tools, and architectural approaches for the data ecosystem.
• Contribute to technical documentation, knowledge sharing, and the establishment of best practices.

Qualifications and Requirements

• A Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline.
• A minimum of 2 years of professional experience in Data Engineering, Data Warehousing, or a related field.
• Strong expertise in SQL and a solid understanding of relational database concepts, including data modeling and query optimization.
• Proven experience in designing and maintaining data warehouse architectures.
• Hands-on experience with columnar databases and implementing performance optimization techniques.
• Experience with workflow orchestration and distributed job scheduling tools, with a preference for Apache Airflow.
• Solid programming skills in Python or Java, with a strong preference for Python.
• A good understanding of Linux environments and scripting capabilities, particularly in Bash.
• Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies.
• Familiarity with data integration, ETL/ELT frameworks, and large-scale data processing.
• Strong communication skills in English.

Required Skills

• Data Engineering
• Data Warehousing
• SQL and Relational Database Concepts
• Data Modeling and Query Optimization
• Data Warehouse Architectures
• Columnar Databases and Performance Optimization
• Workflow Orchestration and Distributed Job Scheduling (*, Apache Airflow)
• Programming in Python and/or Java
• Linux Environments and Bash Scripting
• Cloud-based Data Platforms (*, ClickHouse, StarRocks)
• Data Integration and ETL/ELT Frameworks
• Large-scale Data Processing
• Problem Solving and Attention to Detail
• Ownership and Collaboration
• Curiosity and Knowledge Sharing
• Strong Communication Skills

Work Environment and Location

This is a full-time position based in Riyadh, Saudi Arabia. The role requires a proactive problem solver with a dedication to building reliable, high-quality data solutions. Candidates should be comfortable taking ownership, operating independently when needed, and contributing collaboratively within a team. A curious mindset and a drive for continuous improvement of systems, processes, and technologies are highly valued.