
Accenture
Senior Data Engineer
- Permanent
- Riyadh, Saudi Arabia
- Experience 10 - 15 yrs
Job expiry date: 26/02/2026
Job overview
Date posted
12/01/2026
Location
Riyadh, Saudi Arabia
Salary
SAR 30,000 - 40,000 per month
Compensation
Comprehensive package
Experience
10 - 15 yrs
Seniority
Senior & Lead
Qualification
Bachelors degree
Expiration date
26/02/2026
Job description
The Senior Data Engineer (Data Engineering, Management & Governance) at Accenture Technology is responsible for designing, developing, and managing advanced data solutions that drive large-scale data generation, collection, processing, and analytics for complex client environments. The role focuses on end-to-end ownership of critical data engineering components, including data pipelines and ETL/ELT workflows, while ensuring data quality, integrity, scalability, and reliability. Operating as a subject matter expert, the consultant collaborates across product teams, data scientists, and business stakeholders to translate requirements into robust data architectures and high-performance data solutions. The position requires advanced proficiency in SQL, Python, and modern data frameworks such as Airflow, Spark, and Hadoop, along with experience in cloud platforms including AWS, Azure, and GCP. The role supports strategic decision-making by delivering scalable data architectures, monitoring pipeline performance, troubleshooting issues, implementing enhancements, and ensuring consistent, validated data flows that enable reliable insights and improved customer and operational outcomes.
Required skills
Key responsibilities
- Design, implement, and maintain end-to-end data pipelines and ETL/ELT workflows to move, transform, and load large datasets with efficiency, scalability, and reliability
- Conduct regular assessments of data integrity and consistency and implement data validation and monitoring mechanisms across pipelines
- Develop innovative, high-performance data engineering solutions that enhance operational efficiency and customer experience
- Collaborate with product teams, data scientists, and business stakeholders to gather requirements and translate them into effective data solutions
- Serve as a subject matter expert to guide technical decisions, mentor team members, and promote best practices in data engineering
- Monitor data pipelines for performance, troubleshoot technical issues, and implement scalability and efficiency improvements
Experience & skills
- Possess 8–12 years of experience in data engineering with strong expertise in ETL processes and data pipeline development
- Hold a degree in Computer Science, Engineering, Data Science, or a related analytical field
- Demonstrate advanced proficiency in SQL, Python, and modern data frameworks and tools such as Airflow, Spark, and Hadoop
- Exhibit experience designing scalable and efficient data architectures and working with cloud platforms including AWS, Azure, and GCP
- Show proficiency with ETL tools, data migrations, data processing, and data storage technologies in collaborative, multi-team environments