Senior Data and Infrastructure Engineer (f/m/d)
Ninja · Riyadh, Riyadh Region, Saudi Arabia
Internet Marketplace Platforms · 201-500 employees
About the role
Design, develop, and maintain scalable data solutions and architectures to support advanced analytics and business decision-making. Collaborate with cross-functional teams to integrate diverse data sources while ensuring high data quality, reliability, and performance.
What they look for
Requirements
Requires at least 4 years of professional experience in data engineering or related fields and a bachelor's degree in a quantitative discipline. Candidates must possess strong expertise in SQL, Python, Linux, and cloud-based data platform architectures.
Full description
We are looking for a Senior Data and infrastructure Engineer (f/m/d) to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.
If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.
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.
- 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 . AWS preferred,
- Expert Hands on experience required on linux tools
- Should be able 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.
- Have experience working s3 compatible open source solution and managed solutions.
- Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing.
- Strong communication skills in English.
