Senior Data Engineer - Pipelines, Lakes & Warehouses

Client of The Bridge Recruitment; Riyadh; On-site; SAR 250,000 - 550,000; Full time

Job summary

Client of The Bridge Recruitment is seeking a seasoned Data Management professional in the Riyadh region to design, develop, and maintain data infrastructures such as data warehouses, data lakes, and data marts. You will implement ETL/ELT processes, ensure data quality, and support data-driven initiatives in collaboration with data consultants.

The role requires strong SQL, Python scripting, and a solid understanding of DAMA-aligned data management concepts, with a broad range of years of

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field.
• 5+ years demonstrated experience in data management roles (up to 20 years).
• Strong SQL, data governance, data quality, data security, and metadata concepts.

Responsibilities

• Design, develop, and maintain data models, databases, data warehouses, data marts, and data lakes.
• Develop and implement data integration and ETL/ELT processes.
• Ensure data quality through profiling, cleansing, validation, and standardization.
• Collaborate with data analysts and scientists to support data-driven initiatives.
• Troubleshoot data-related issues and provide technical solutions.
• Monitor and optimize data management systems performance.

Skills

Data management

ETL/ELT processes

Data modeling

SQL

Data governance

Data quality

Problem solving

Team collaboration

Education

Bachelor's degree in Computer Science/Information Systems

Tools

Informatica

Talend

SQL Server

Oracle

MySQL

Job description

Client of The Bridge Recruitment is seeking a seasoned Data Management professional in the Riyadh region to design, develop, and maintain data infrastructures such as data warehouses, data lakes, and data marts. You will implement ETL/ELT processes, ensure data quality, and support data-driven initiatives in collaboration with data consultants.

The role requires strong SQL, Python scripting, and a solid understanding of DAMA-aligned data management concepts, with a broad range of years of