Jobs in Makkah, Saudi Arabia

We are seeking a skilled Senior Data Engineer with deep expertise in ClickHouse and streaming data, and a passion for building scalable real-time analytics solutions. In this role, you will design, develop, and optimize our data pipelines and analytics infrastructure, empowering our teams to harness real-time insights that enhance customer experience and drive business growth.

Key Responsibilities

1. Design, implement, maintain and document highly scalable data pipelines for real-time and batch processing.
2. Build and optimize data systems to support accurate, low-latency analytics and reporting use cases.
3. Develop and maintain solutions for streaming and serverless data processing.
4. Collaborate with cross-functional teams to implement and support end-to-end analytics workflows.
5. Ensure data quality, reliability, and performance across the platform.
6. Monitor, troubleshoot, and optimize data infrastructure to maintain high availability.
7. Mentor junior engineers and contribute to the continuous improvement of engineering practices.

Requirements

1. 5+ years of experience in data engineering or related fields.
2. Strong expertise in ClickHouse: experience in designing schemas and jobs, optimizing data ingestion as well as queries, managing clusters, etc.
3. Proven experience in real-time data processing and enrichment using tools like Apache Kafka, Apache Flink, Apache Spark Streaming, Serverless technologies like AWS Lambda, GCP Functions, etc.
4. Deep understanding of Distributed systems architecture and design, with a focus on scalability and resilience, especially in relation to data processing.
5. Proficiency in programming languages like Python or Java.
6. Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure).
7. Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
8. Strong problem-solving skills and ability to work in a fast-paced environment.
9. Excellent communication and collaboration skills, with a demonstrated ability to work effectively as part of a team.

Preferred Qualifications

1. Experience in the e-commerce industry or similar high-traffic, data-intensive environments would be a big plus.
2. Knowledge of ETL / ELT tools like Airflow, dbt, or equivalent.
3. Familiarity with monitoring and observability tools for data systems (e.g., Prometheus, Grafana).