Data engineer Jobs in Riyadh

Join Total-TECH Co as a Data Engineer specializing in Security, DLP, Data Classification, DRM & Secure File Sharing. We are a leading IT services provider in the Middle East, known for our exceptional customer service and commitment to meeting our clients' needs.

Key Responsibilities:

• Define, implement, and enforce DLP policies across endpoints, email, and cloud apps.
• Investigate data leakage attempts and coordinate with business units for remediation.
• Perform Shadow IT risk assessments using Netskope.
• Build compliance dashboards to track data protection KPIs.
• Deliver monthly DLP incidents and compliance reports.
• Implement data classification policies (Confidential, Restricted, etc.) via Bolden James.
• Apply digital watermarks on sensitive documents using Data Patrol.
• Configure and enforce DRM access control policies via Seclore.
• Manage secure file sharing, encryption, access control, and auditing via Kiteworks.
• Conduct user awareness training on secure data handling practices.

Qualifications: Minimum of 3 years of experience in data security roles. Familiarity with DLP vendors such as Forcepoint, Netskope, and associated security protocols is preferred.

Join us in our journey to provide innovative IT services and make a positive impact in the industry.

Join Future Look ITC as a Data Engineer!

We are seeking a skilled Data Engineer to design and implement scalable data pipelines that will elevate our data handling capabilities. At Future Look ITC, we partner with top innovative names to foster success with cutting-edge solutions aligned with Saudi Arabia's Vision 2030.

Key Responsibilities:

• Design and implement scalable batch and streaming data pipelines.
• Build and maintain data ingestion, transformation, and storage systems.
• Ensure data quality, consistency, lineage, and reliability across pipelines.
• Collaborate with ML and backend engineers to provide clean, usable datasets for training and inference.
• Optimize data storage and query performance for analytical and operational workloads.
• Implement data validation, monitoring, and alerting mechanisms.
• Manage schema evolution, versioning, and backward compatibility.
• Document data models, pipelines, and operational procedures.

Core Deliverables:

• Production-grade data pipelines and ingestion workflows.
• Curated datasets and data models for analytics and ML.
• Data quality checks and monitoring dashboards.
• Reliable data storage and access patterns.
• Documentation for data architecture and pipelines.

Required Qualifications:

• 3+ years of experience in data engineering or related roles.
• Strong experience with Python and SQL.
• Experience with data processing frameworks and tools.
• Familiarity with relational and analytical databases.
• Experience building and operating data pipelines in production environments.

Preferred Qualifications:

• Experience with streaming platforms and real-time data processing.
• Familiarity with data lakes, warehouses, and columnar storage formats.
• Experience supporting ML or analytics platforms.
• Exposure to cloud or hybrid infrastructure environments.

Success Indicators:

• Data pipelines are stable, accurate, and scalable.
• High data availability and low pipeline failure rates.
• Data consumers can easily discover and trust datasets.
• Reduced data-related incidents and manual interventions.

Working Style:

• Strong ownership of data reliability.
• Attention to detail and data correctness.
• Clear documentation and communication.