
Accenture
Senior Data Engineer
- Permanent
- Riyadh, Saudi Arabia
- Experience 10 - 15 yrs
Job expiry date: 01/03/2026
Job overview
Date posted
15/01/2026
Location
Riyadh, Saudi Arabia
Salary
SAR 30,000 - 40,000 per month
Compensation
Comprehensive package
Job description
The Senior Data Engineer role at Accenture Technology in Riyadh operates within the Data Engineering, Management and Governance domain and focuses on designing, developing, and managing advanced data solutions that enable data generation, collection, processing, and analytics at scale. The role is responsible for end-to-end ownership of critical data engineering components including data pipelines, ETL and ELT workflows, data migrations, data access layers, and pipeline development while maintaining data quality, integrity, and consistency across large datasets. The position involves designing, implementing, and maintaining scalable, efficient, and reliable data architectures, conducting regular data integrity assessments, and implementing validation and monitoring mechanisms across pipelines. The Senior Data Engineer develops high-performance data solutions to improve operational efficiency and customer experience, leverages modern data frameworks and tools such as SQL, Python, Apache Airflow, Apache Spark, Hadoop, and enterprise ETL tools, and works with cloud platforms including AWS, Azure, and GCP alongside modern data storage technologies. The role acts as a subject matter expert, engaging with product teams, data scientists, and business stakeholders to translate business requirements into robust technical solutions, guide architectural and technical decisions, mentor team members on best practices, monitor and troubleshoot pipeline performance, and continuously enhance scalability and efficiency. The role is delivered within Accentureās global technology consulting environment, supporting complex client transformations and innovation at scale across industries.
Required skills
Key responsibilities
- Design, implement, and maintain end-to-end data pipelines and ETL and ELT workflows to move, transform, and load large datasets with efficiency, scalability, and reliability
- Assess data integrity and consistency by implementing validation, monitoring, and quality control mechanisms across data pipelines
- Develop high-performance data solutions that improve operational efficiency and customer experience
- Translate business, product, and analytics requirements into effective data engineering solutions
- Serve as a subject matter expert guiding technical and architectural decisions across teams
- Collaborate with product teams, data scientists, and business stakeholders to deliver comprehensive data solutions
- Monitor data pipelines for performance issues, troubleshoot failures, and implement scalability and efficiency enhancements
- Mentor team members and promote best practices in data engineering and pipeline development
Experience & skills
- Demonstrate 8ā12 years of experience in data engineering with strong ETL and data pipeline expertise
- Hold a degree in Computer Science, Engineering, Data Science, or a related analytical field
- Exhibit advanced proficiency in data engineering, data processing, data migrations, data access, and pipeline development
- Demonstrate strong skills in SQL and Python
- Show hands-on experience with modern data frameworks and tools including Apache Airflow, Apache Spark, and Hadoop
- Demonstrate proficiency in ETL tools and ETL processes
- Design scalable and efficient data architectures
- Demonstrate familiarity with cloud platforms including AWS, Azure, and Google Cloud Platform
- Show experience working across multiple teams to identify requirements and deliver end-to-end data solutions