The role is responsible for designing, building, and maintaining data pipelines and tools that support democratizing data across the organization to enable data-driven decision-making. The Manager - Data Engineer will work closely with Data Scientists, Product teams, and business stakeholders to transform business requirements into efficient and reliable solutions.
Responsibilities:
- Develop and maintain data Lakehouse solutions leveraging Google BigQuery AI, optimized for performance, cost-effectiveness, and advanced analytics.
- Design and develop robust data pipelines (streaming, batch, API endpoints) for efficient data collection, transformation, and analysis.
- Ensure data solutions are secure and compliant with industry regulations, supporting detailed reporting and self-service analytics.
- Implement best practices for data quality, consistency, and integrity across the entire data infrastructure.
- Establish monitoring, logging, and alerting frameworks to ensure data pipeline reliability and performance.
- Collaborate with stakeholders to translate business requirements into technical data solutions.
- Conduct code reviews and drive continuous improvement in development processes.
- Enable secure sharing of data through data marketplaces while maintaining data catalogs and lineage.
- Document data solutions to ensure operational knowledge is accessible organization-wide.
- Mentor and guide a team of data engineers, fostering innovation and collaboration.
- Perform any other duties and responsibilities as assigned.
- Enforce, incorporate, and comply with all necessary controls and related information security policies, procedures, practices, training, reporting, personal due diligence, and vigilance within departmental/unit activities and operations.
Qualifications:
- A tertiary level qualification from a recognized institution.
- Google Cloud Professional Data Engineer certification (preferred).
- 3 to 5 years of equivalent experience in designing and implementing data pipelines using Google Cloud or other public cloud platforms.
- Expertise in Google Cloud technologies such as BigQuery, Data Fusion, DataForm, DataFlow, Cloud Composer, DataPlex, Dataproc, Analytics Hub, etc.
- Good understanding of data governance principles, including security, compliance, and privacy by design.
Technical Competencies:
- Data analysis
- Data pipeline development
Behavioral Competencies:
- Problem Solving
- Communication
- Collaboration
Work Conditions:
On-site, Full-time
Job Location:
Riyadh, Saudi Arabia
