Senior Data Engineer at Datamatics Technologies

, Nouakchott-Sud Region, Mauritania -

Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

0.0

Posted On

18 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SSIS, SQL, Data Modeling, ETL, Data Quality, Collaboration, Documentation, Mentorship, Data Mart, Semantic Layer, Data Pipeline, Business Metrics, Data Vault, Analytics, Feature Engineering

Industry

IT Services and IT Consulting

Description

Please read the JD Carefully Job Title: Senior Data Engineer / SSIS Engineer Department/Section: Data and Analytics Office / Data Engineering Language : Arabic & Non Arabic Location: Riyadh Industry - Govt.Sector Org. Experience: 7+ Years Job Purpose The Senior Data Engineer / SSIS Engineer is responsible for designing, building, and maintaining scalable data pipelines, ETL processes, and data marts that enable reliable analytics and data-driven decision-making. A key focus of this role is the development and maintenance of a robust semantic layer, ensuring structured, consistent, and business-friendly data access across the organization. The role involves close collaboration with analytics, data science, and business teams to deliver high-quality data models, feature stores, and industrialized data products while upholding best practices in data engineering, data quality, and documentation. Key Responsibilities 1. Data Modeling Design, develop, and maintain robust logical and physical data models that support analytical and reporting requirements. Ensure models are scalable, performant, and aligned with business needs. Apply industry-standard modeling techniques; experience with Data Vault methodology is a plus. 2. Semantic Layer Development Design, implement, and maintain a centralized semantic layer to enable consistent and reusable business metrics. Define and manage ontologies, taxonomies, hierarchies, and business definitions to ensure a common understanding of data across teams. Enable self-service analytics by simplifying complex data structures for business users. 3. Data Pipeline Development (ETL/ELT) Develop, optimize, and maintain ETL pipelines, with a strong focus on SSIS, to automate data ingestion, transformation, and loading. Ensure high reliability, performance, and availability of data pipelines across multiple source systems and data platforms. Support batch and near–real-time processing where required. 4. Data Quality & Consistency Implement data quality checks and controls throughout the data lifecycle, starting from source systems. Monitor data accuracy, completeness, and consistency, and proactively resolve data quality issues. Collaborate with stakeholders to define and enforce data quality standards. 5. Collaboration with Stakeholders Work closely with data scientists, analysts, BI developers, and business stakeholders to gather requirements and translate them into scalable data solutions. Support analytical use cases, feature engineering, and reporting needs through well-designed data assets. 6. Documentation & Best Practices Document data models, ETL workflows, semantic layer configurations, and data definitions. Promote best practices in data engineering, naming conventions, version control, and deployment processes. Ensure transparency, traceability, and knowledge sharing across teams. 7. Technical Mentorship Mentor and guide junior data engineers. Provide technical leadership in data modeling, SSIS development, and semantic layer design. Contribute to continuous improvement of data engineering standards and frameworks. Required Qualifications & Skills Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field. Strong hands-on experience as a Senior Data Engineer or SSIS Engineer. Advanced expertise in SSIS, SQL, and relational data warehouses. Strong knowledge of data modeling techniques (star schema, snowflake, dimensional modeling). Experience designing and maintaining data marts and semantic layers. Solid understanding of data quality management and ETL best practices. Strong communication skills and ability to work with both technical and non-technical stakeholders. Nice to Have Experience with Data Vault modeling. Exposure to modern analytics platforms, cloud data services, or feature stores. Experience supporting self-service BI and analytics use cases.

Responsibilities

The Senior Data Engineer is responsible for designing and maintaining scalable data pipelines and ETL processes. This role involves collaboration with analytics and business teams to deliver high-quality data models and products.