Senior Data and Infrastructure Engineer

Ninja

Job Overview

Location

Riyadh, Riyadh Province, Saudi Arabia

Employment Type

Full-time

Work Arrangement

On-site

Sector

Information Technology & Software

Experience Level

Senior (5-8 years)

Application Deadline

August 23, 2026

About the Company

Ninja is positioned at the forefront of technological advancement, aiming to revolutionize how businesses operate through data. The company is committed to transforming organizations into data-driven entities, empowering teams with reliable data and actionable insights. Their focus is on building scalable, open-source data solutions that cater to a rapidly growing international business environment. Ninja emphasizes collaboration and innovation, fostering a culture where complex data challenges are met with robust platform development. They are dedicated to enhancing data architecture to support advanced analytics, reporting, and informed decision-making across all organizational levels.

Job Description

We are seeking a highly skilled Senior Data and Infrastructure Engineer to join our dynamic Data Team. Your primary mission will be to spearhead the transformation of our company into a truly data-driven organization.

In this critical role, you will be responsible for designing, building, and maintaining scalable data solutions. These solutions will empower our business teams by providing reliable, high-quality data and actionable insights, directly contributing to strategic decision-making.

If you thrive on solving complex data challenges, enjoy building robust and efficient platforms, and are eager to work within an international and collaborative environment, we encourage you to apply.

Required Skills

Data EngineeringData WarehousingData OpsAWSLinuxDockerSQLPythonETLELTData ModelingQuery OptimizationColumnar DatabasesApache AirflowBash ScriptingClickHouseStarRocksS3 Compatible Solutions

Key Responsibilities

Design, develop, deploy, and maintain scalable and open-source data solutions that support our rapidly growing international business.
Build and evolve our data architecture to enable advanced analytics, reporting, and data-driven decision-making across the organization.
Develop and optimize CDC / 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 a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., PostgreSQL, MySQL, Google Analytics, BigQuery, Google Ads, Adjust, and others).
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 our data ecosystem.
Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization.

Qualifications

4+ years of professional experience in Data Engineering, Data Warehousing, Data Ops, or a related field.
Good hands-on experience in one of the major clouds, with AWS preferred.
Expert hands-on experience required on Linux tools.
Ability to deploy applications using Docker on bare metal servers.
Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline.
Strong expertise in SQL (PSQL) and relational database concepts, including data modeling and query optimization.
Experience designing and maintaining data warehouse architectures.
Hands-on experience with columnar databases and performance optimization techniques.
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 with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies.
Experience working with S3 compatible open-source solutions and managed solutions.
Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing.
Strong communication skills in English.

How to Apply

To apply for this role, click the Apply button on this page and follow the instructions.

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The data landscape is rapidly evolving, with organizations in Riyadh increasingly prioritizing data-driven strategies. This role is pivotal in shaping that future, focusing on the design and implementation of robust data infrastructure. You will leverage expertise in areas like data warehousing, ETL/ELT pipelines, and cloud-native solutions to build scalable systems. Your impact will directly influence business intelligence, advanced analytics capabilities, and the overall data maturity of the organization, driving significant ROI through enhanced decision-making.