Data engineer Jobs in Makkah

Join Our Team as a Senior Data Engineer
At Salla, we are looking for a talented Senior Data Engineer to join our dynamic team. This role is perfect for individuals with a strong background in ClickHouse and streaming data who are passionate about building scalable, real-time analytics solutions.

Key Responsibilities:

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

Join Our Team as a Senior Data Engineer!
At Salla E-Commerce Platform, we are on the lookout for a highly skilled Senior Data Engineer who possesses a deep expertise in ClickHouse and streaming data. If you are passionate about building scalable real-time analytics solutions, this role is for you!

Key Responsibilities:

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

Requirements:

• 5+ years of experience in data engineering or related fields.
• Strong expertise in ClickHouse including schema design, job optimization, and cluster management.
• Proven experience in real-time data processing using tools like Apache Kafka and Apache Spark Streaming.
• Deep understanding of Distributed systems with a focus on scalability and resilience.
• Proficiency in programming languages like Python or Java.
• Hands-on experience with cloud platforms like AWS, GCP, or Azure.
• Familiarity with Docker and Kubernetes.

Preferred Qualifications:

• Experience in the e-commerce industry or similar high-traffic environments.
• Knowledge of ETL/ELT tools like Airflow or dbt.
• Familiarity with monitoring tools like Prometheus or Grafana.

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

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

Requirements

• 5+ years of experience in data engineering or related fields.
• Strong expertise in ClickHouse: experience in designing schemas and jobs, optimizing data ingestion as well as queries, managing clusters, etc.
• 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.
• Deep understanding of Distributed systems architecture and design, with a focus on scalability and resilience, especially in relation to data processing.
• Proficiency in programming languages like Python, or Java.
• Hands-on experience with cloud platforms (*, AWS, GCP, or Azure).
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and collaboration skills, with a demonstrated ability to work effectively as part of a team.

Preferred Qualifications

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