Senior Data Engineer: Scalable Pipelines for AI/ML Data

Devsinc, LLC; Riyadh; On-site; SAR 240,000 - 420,000; Full time

Job summary

Devsinc, LLC in Riyadh, Saudi Arabia is seeking a Senior Data Engineer with 4–6 years of experience to design, build, and maintain scalable data pipelines that power analytics, data products, and AI/ML capabilities.

You will collaborate with Product, BI, Data Science, and Engineering teams to deliver production‑ready datasets and high‑performance data solutions using Python, SQL, Airflow, Spark, and Redis.

Qualifications

• 4–6 years of professional experience in data engineering or related role.
• Proven experience designing and implementing production-grade ETL/ELT pipelines.
• Strong Python proficiency for data processing and automation.
• Advanced SQL skills with relational databases.
• Hands-on Apache Airflow for workflow orchestration.
• Experience with Apache Spark and distributed data processing.
• Knowledge of data modeling and pipeline architecture.
• Experience with Redis for caching and high-performance access.
• Ability to handle large datasets and optimize pipelines.
• Understanding of data quality, validation, monitoring, and observability.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for ingestion, transformation, validation, and delivery.
• Build, schedule, and orchestrate production-grade data workflows using Airflow.
• Develop distributed data-processing jobs with Spark.
• Write efficient Python code for data processing, automation, and pipelines.
• Develop and optimize complex SQL queries for transformation and quality validation.
• Design pipelines for large-scale structured, semi-structured, and unstructured data.
• Implement Redis for caching and high-performance data access.
• Integrate data from APIs, relational databases, files, and external sources.
• Implement data validation, monitoring, logging, alerting, and observability.
• Optimize pipeline performance and storage costs.
• Develop reusable data-ingestion and transformation frameworks.
• Troubleshoot pipeline failures and data-quality issues.
• Collaborate with BI, Product, Data Science, and Engineering teams.
• Establish data-engineering standards and documentation.

Skills

ETL/ELT pipelines

Python

SQL

Apache Airflow

Apache Spark

Redis

Data modeling

Linux

Git

Docker

Education

Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field

Tools

PostgreSQL

Data warehouses

Job description

Devsinc, LLC in Riyadh, Saudi Arabia is seeking a Senior Data Engineer with 4–6 years of experience to design, build, and maintain scalable data pipelines that power analytics, data products, and AI/ML capabilities.

You will collaborate with Product, BI, Data Science, and Engineering teams to deliver production‑ready datasets and high‑performance data solutions using Python, SQL, Airflow, Spark, and Redis.