Senior Data Engineer

Maximus Gulf Recruitment Company LLC; Riyadh; On-site; SAR 300,000 - 450,000; Full time

Job summary

Maximus is seeking an experienced Senior Data Engineer in Riyadh to design, build, and maintain scalable, secure, high-performance enterprise data solutions across Microsoft Data Technologies and Modern Lakehouse platforms.

You will develop batch and real-time data pipelines, implement data warehouse and lakehouse architectures, ensure data quality and governance, and support analytics, reporting, AI, and ML initiatives.

Qualifications

• Bachelor's degree or Diploma in IT, Software Engineering, or related field.
• 10+ years of experience in Data Engineering, ETL/ELT development, and SQL-based data solutions.
• 3+ years hands-on experience with Apache Spark or equivalent distributed processing platforms.
• Experience supporting Enterprise Data Warehouses (DWH) and Lakehouse platforms; analytics or AI environments.
• Experience with Microsoft Data Platform technologies.
• Experience with CI/CD, source control, automated testing, and deployment processes.
• Experience with Power BI or other enterprise reporting platforms.
• Fluent in English and Arabic.

Skills

Data Engineering

SQL

Stakeholder management

Communication

Mentoring

Analytics mindset

Education

Bachelor’s degree or Diploma in IT/Software Engineering

Tools

SSIS

Microsoft SQL Server

Power BI

Trino

DataHub

MinIO

LakeFS

RBAC & Security Management

n8n

APIs & Webhooks

SSAS

Job description

Riyadh, Saudi Arabia | Posted on 05/11/2026

We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable, secure, and high-performance enterprise data solutions across Microsoft Data Technologies and Modern Lakehouse platforms. The role focuses on developing batch and real-time data pipelines, implementing data warehouse and lakehouse architectures, ensuring data quality and governance, and supporting analytics, reporting, AI, and machine learning initiatives.

Requirements

• Bachelor's degree or Diploma in Information Technology, Software Engineering, or related field.
• Minimum 10 years of experience in Data Engineering, ETL/ELT development, and SQL-based data solutions.
• Minimum 3 years of hands‑on experience with Apache Spark or equivalent distributed processing platforms.
• Proven experience supporting Enterprise Data Warehouses (DWH), Lakehouse platforms, Analytics, or AI environments.
• Experience with Microsoft Data Platform technologies.
• Experience with CI/CD, source control, automated testing, and deployment processes.
• Experience with Power BI or other enterprise reporting platforms.
• Microsoft SQL Server or relevant Data Engineering certifications are preferred.
• Fluent in English and Arabic.

Technical Skills

• ETL/ELT Design & Development
• SSIS
• Microsoft SQL Server
• Advanced T‑SQL
• Database Administration
• SQL Performance Tuning

Advanced to Expert

• Data Warehouse & Lakehouse Architecture
• Relational & Dimensional Data Modeling
• Data Governance & Data Quality Frameworks
• DataHub

Advanced

• CDC & Incremental Processing
• n8n
• APIs & Webhooks
• Trino
• SSAS
• Power BI
• MinIO
• LakeFS
• RBAC & Security Management

Soft Skills

• Strong problem-solving and root‑cause analysis capabilities.
• Ability to manage complex workloads and competing priorities.
• Excellent stakeholder management and communication skills.
• Business‑oriented mindset with strong analytical thinking.
• Team collaboration, mentoring, and knowledge‑sharing abilities.
• High attention to quality, governance, integrity, and confidentiality.
• Senior‑level position reporting directly to the Head of Data & Analytics.
• Opportunity to work on enterprise‑scale Data Warehouse and Lakehouse platforms.
• Exposure to modern Data Engineering ecosystem including:
  • Apache Spark
  • Apache Flink
  • Apache Airflow
  • Apache Iceberg
  • Trino
  • DataHub
  • Great Expectations
• Involvement in AI/ML enablement and advanced analytics initiatives.
• Opportunity to influence enterprise data architecture and governance practices.
• Cross‑functional collaboration with Data, BI, Product, Infrastructure, and Business teams.
• Leadership and mentoring responsibilities.
• Exposure to cloud‑native and modern data platform technologies.