We are looking for a Senior Data and Infrastructure Engineer 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.
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Location
Riyadh, Saudi Arabia
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.
Requirements
- 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 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.
