Data Engineer

We are supporting search for the position of Data Engineer with one of our clients in Saudi Arabia. Position: Data Engineer

Location

Riyadh, Saudi Arabia Work-model: On-site Role

Overview

Responsible to design, build, and maintain robust data pipelines, warehousing solutions, and analytics platforms that serve operational and executive decision-making across its mining divisions. You will work within a high-performing team to ingest data from diverse source systems, ensure data quality and governance, and enable self-serve analytics at scale. This role demands deep ETL/ELT expertise, strong cloud platform skills, and a delivery mindset. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines across batch and real-time modes using Azure Synapse Analytics, Azure Databricks, Informatica PowerCenter/IICS, and Microsoft SSIS. Build and optimise star/snowflake schema data models, subject-oriented data marts, and centralised data warehouse solutions. Develop PySpark transformation jobs for large-scale data processing; manage datasets in Snowflake, Azure SQL, AWS Redshift, and Oracle. Implement Master Data Management (MDM) solutions to eliminate duplication and establish single trusted records across source systems. Develop Python-based validation scripts and automated data quality checks to ensure pipeline integrity and reduce failure rates. Build API-driven and file-based ingestion pipelines for near-real-time data integration from heterogeneous source systems. Design and deliver executive Power BI dashboards and Tableau reports for C-suite and operational stakeholders. Ensure data governance compliance, lineage, metadata management, classification, and access control. Mentor junior engineers; participate in code reviews, Agile ceremonies, and cross-functional collaboration with analytics and AI teams

Desired Candidate Profile

Must-Have

Requirements

• 6+ years of data engineering experience with a strong ETL/ELT delivery track record
• Hands-on expertise in Azure Synapse Analytics and/or Azure Databricks (PySpark)
• Proficiency in Informatica PowerCenter/IICS and/or Microsoft SSIS for enterprise ETL. Database expertise: SQL Server, Oracle, Snowflake, Azure SQL, AWS Redshift
• Strong Python and SQL skills; experience with data validation and transformation scripting
• Cloud platform

Experience

Azure (preferred) and/or AWS. Experience with BI tools: Power BI and/or Tableau for executive reporting. Understanding of data governance, MDM, data quality, and performance tuning.

Preferred Qualifications

• CDMP (Certified Data Management Professional) or equivalent certification
• Experience in government, energy, or mining sector data environments
• AWS Cloud Practitioner or Azure Data Engineer Associate certification
• Experience with Acumatica ERP, MoEngage, or similar platform integrations
• Familiarity with Azure OpenAI and AI model integration into data workflows
• Prior work experience in KSA or GCC government/public sector