Senior Data Engineer

About the Role

Devsinc is seeking a Senior Data Engineer with 4-6 years of professional experience to join their team in Riyadh, Saudi Arabia. This full-time role involves designing, building, and maintaining scalable data pipelines and processing systems. The ideal candidate will support analytics, data products, and AI/ML capabilities by developing reliable and maintainable workflows for large, complex, and continuously growing datasets.

Role Context and Collaboration

The Senior Data Engineer will be responsible for delivering production-ready datasets and high-performance data solutions. This position requires strong hands-on experience with ETL/ELT pipelines, Python, SQL, Apache Airflow, Apache Spark, and Redis. Collaboration with Product, Business Intelligence, Data Science, and Engineering teams is a key aspect of this role to ensure integrated and effective data solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, validation, and delivery.
• Build, schedule, and orchestrate production-grade data workflows using Apache Airflow.
• Develop distributed data-processing jobs using Apache Spark.
• Write efficient, reusable, and maintainable Python code for data processing, automation, and pipeline development.
• Develop and optimize complex SQL queries for data transformation, analysis, and quality validation.
• Design pipelines capable of processing large-scale structured, semi-structured, and unstructured datasets.
• Implement Redis for caching, high-performance data access, and data-intensive application requirements.
• Integrate data from APIs, relational databases, files, third-party providers, and other internal and external sources.
• Implement data validation, monitoring, logging, error handling, alerting, and pipeline observability.
• Optimize pipeline performance, data storage, processing time, and infrastructure costs.
• Develop reusable data-ingestion and transformation frameworks instead of one-off scripts.
• Troubleshoot pipeline failures, performance bottlenecks, and data-quality issues to ensure timely resolution.
• Collaborate with BI, Product, Data Science, and Engineering teams to deliver reliable, production-ready datasets.
• Establish and maintain data-engineering standards, technical documentation, and development best practices.

Required Qualifications and Skills

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
• 4-6 years of professional experience in Data Engineering or a closely related role.
• Strong hands-on experience designing and implementing production-grade ETL/ELT pipelines.
• Strong proficiency in Python for data processing, automation, and data-engineering workflows.
• Advanced SQL skills and a strong understanding of relational databases.
• Practical production experience with Apache Airflow for workflow orchestration.
• Hands-on experience with Apache Spark and distributed data processing.
• Strong understanding of data modelling, transformation patterns, and data-pipeline architecture.
• Experience with Redis, caching strategies, and high-performance data-access patterns.
• Experience processing large datasets and optimizing pipeline and query performance.
• Strong understanding of data quality, validation, monitoring, observability, and pipeline reliability.
• Familiarity with Linux, Git, Docker/containers, and modern software-engineering practices.
• Strong analytical, troubleshooting, communication, and cross-functional collaboration skills.

Preferred Qualifications

• Experience with cloud data platforms and object storage services such as AWS, Azure, or GCP.
• Experience working with PostgreSQL, data warehouses, or analytical databases.
• Experience processing geospatial data or large-scale location-based datasets.
• Familiarity with DuckDB, Apache Sedona, Trino, Presto, or similar analytical technologies.
• Experience processing high-volume event, mobility, transactional, or geospatial data.
• Familiarity with CI/CD pipelines and infrastructure-as-code practices.
• Experience supporting data products, analytics platforms, or AI/ML pipelines.

Application Process

Devsinc invites qualified candidates to apply for this Senior Data Engineer position in Riyadh. This is a full-time opportunity for professionals seeking to contribute to advanced data solutions.