Data Engineer📣 Job Ad

Join Node Technologies as a Data Engineer!
We are a leading technology company dedicated to supporting the digital transformation of government entities and major corporations through innovative solutions. In this role, you will design, build, and maintain secure, scalable data pipelines and analytics platforms, leveraging your expertise in data engineering, AI integration, and analytics enablement.

Key Responsibilities:

• Data Engineering & Ingestion:
  Design, build, and maintain secure data ingestion pipelines from multiple internal and external data sources. Implement ETL/ELT processes to move and transform data into Google BigQuery.
• Databases & Data Warehousing:
  Design and manage relational databases using PostgreSQL or MySQL, and develop and optimize BigQuery datasets.
• Data Analytics & Reporting:
  Enable and support analytics and reporting using Power BI Pro and Looker Enterprise.
• Data Visualization:
  Develop custom data visualizations using libraries such as ***** and ***
• AI & Machine Learning Integration:
  Integrate external AI services and develop data processing pipelines using Python.
• Security, Quality & Operations:
  Implement secure data access, monitor data pipelines, and document data architectures.

Technical Skills Required:

• Minimum 3 years of experience as a Data Engineer.
• Strong experience with PostgreSQL, MySQL, and Google BigQuery.
• Proficient in Python, data modeling, and BI tools.
• Knowledge of data visualization libraries and API-based data ingestion.

Soft Skills:
Strong analytical skills, communication abilities, and the capacity to work in agile, cross-functional teams are essential.

If you are eager to contribute to exciting projects and grow your career in a dynamic setting, we would love to hear from you!

Join Datamatics Technologies as a Data Engineer!
We are seeking a skilled Data Engineer with strong experience in the banking domain to design, build, and optimize high-quality data pipelines and curated datasets that support enterprise reporting and analytics. This is an exciting opportunity to collaborate closely with business and BI teams to enhance data-driven decision-making.

Key Responsibilities:

• Develop and optimize complex SQL queries using CTEs, window functions, and advanced joins.
• Design and build curated KPI datasets optimized for BI and analytics consumption.
• Partner with business and analytics teams to implement KPI logic and reporting requirements.
• Ensure data accuracy through reconciliation, validation, and quality checks across datasets.
• Integrate data from multiple banking source systems into unified analytical models.
• Monitor and tune query performance to ensure scalability and efficiency.
• Support ongoing enhancements and maintenance of data pipelines and reporting datasets.

Required Skills & Experience:

• 3–5 years of hands-on experience as a Data Engineer in the banking or financial services domain.
• Strong expertise in SQL (CTEs, window functions, aggregations, complex joins).
• Solid understanding of data quality, reconciliation, and performance optimization.
• Exposure to integrating data from multiple heterogeneous source systems.
• Strong analytical skills and ability to work with business stakeholders.

Nice to Have:

• Experience with data warehousing and dimensional modeling.
• Familiarity with ETL/ELT frameworks and scheduling tools.
• Knowledge of regulatory or financial reporting use cases.

Join Envision Employment Solutions as a Data Engineer!

Envision Employment Solutions is currently looking for a Data Engineer (Saudi National) for one of our partners, a global leader in IT Services and IT Consulting, located in Riyadh. This is a full-time, on-site role that offers a fantastic opportunity to work in a dynamic environment.

Job Summary:
The Data Engineer will be responsible for designing, building, and managing scalable data pipelines. Key responsibilities include:

• Performing data integration and developing data models for optimization.
• Building ETL processes and maintaining data warehouses.
• Collaborating with cross-functional teams to deliver data-driven solutions that support business operations and analytics.

Requirements:
To be successful in this role, candidates should have:

• Bachelor's degree in Computer Science, Data Science, or related fields.
• Proficiency in Data Engineering and Data Modeling.
• Experience with Extract, Transform, Load (ETL) processes and Data Warehousing.
• Strong skills in Data Analytics and working with large-scale datasets.
• Proficiency in programming languages commonly used in data engineering (*, Python, SQL, or Java).
• Knowledge of cloud platforms and big data tools (*, AWS, Azure, Hadoop) is a plus.
• Strong problem-solving abilities and attention to detail.