Qureos Mentor

Datamatics Technologies

<div>
 
 
 
 3 Months Contractual Role
 
 
 
 
 
 Job Title:
 
 Power BI Developer / BI Engineer
 
 
 Location:
 
 Riyadh (Onsite)
 
 
 Contract Duration:
 
 3 Months (Contractual)
 
 
 Experience Required:
 
 6&ndash;8 Years
 
 Job Overview
 
 We are looking for an experienced
 
 Power BI Developer / BI Engineer
 
 to support a short-term project involving the setup of enterprise BI infrastructure and development of business dashboards. The ideal candidate will have strong hands-on experience with
 
 Power BI Enterprise Server
 
 ,
 
 Microsoft SQL Server
 
 , and building scalable BI reporting solutions in an on-premises environment.
 
 Key Responsibilities
 <ul>
 <li>
 
 Install, configure, and manage
 
 Power BI Report Server / Enterprise Server
 
 in an on-premises environment.
 
 </li>
 <li>
 
 Install, configure, and optimize
 
 Microsoft SQL Server
 
 for reporting and analytics workloads.
 
 </li>
 <li>
 
 Design, develop, and deploy interactive
 
 Power BI dashboards and reports
 
 based on business requirements.
 
 </li>
 <li>
 
 Develop data models, DAX calculations, and optimized queries for performance.
 
 </li>
 <li>
 
 Integrate data from multiple sources including SQL databases and enterprise systems.
 
 </li>
 <li>
 
 Ensure data accuracy, security, and governance within BI solutions.
 
 </li>
 <li>
 
 Work closely with business stakeholders to translate requirements into analytical dashboards.
 
 </li>
 <li>
 
 Troubleshoot performance issues and optimize reports and datasets.
 
 </li>
 <li>
 
 Document architecture, data models, and reporting processes.
 
 </li>
 </ul>
 Required Skills &amp; Experience
 <ul>
 <li>
 
 6&ndash;8 years of experience in
 
 Business Intelligence / Data Analytics
 
 .
 
 </li>
 <li>
 
 Strong hands-on experience with
 
 Power BI Report Server (On-Prem)
 
 .
 
 </li>
 <li>
 
 Solid expertise in
 
 Microsoft SQL Server
 
 , including performance tuning.
 
 </li>
 <li>
 
 Experience in
 
 data modeling, DAX, and Power Query
 
 .
 
 </li>
 <li>
 
 Ability to design visually compelling dashboards and reports.
 
 </li>
 <li>
 
 Experience with ETL processes and data integration.
 
 </li>
 <li>
 
 Strong analytical and problem-solving skills.
 
 </li>
 <li>
 
 Ability to work independently in a fast-paced project environment.
 
 </li>
 </ul>
 Preferred Qualifications
 <ul>
 <li>
 
 Experience implementing
 
 enterprise BI environments
 
 .
 
 </li>
 <li>
 
 Knowledge of
 
 data warehouse concepts
 
 .
 
 </li>
 <li>
 
 Microsoft BI or Power BI related certifications are a plus.
 
 </li>
 <li>
 
 Experience working on projects in the Middle East region is advantageous.
 
 </li>
 </ul>
 Engagement Details
 <ul>
 <li>
 
 
 Contract:
 
 3 Months (Possible Extension)
 
 </li>
 <li>
 
 
 Location:
 
 Onsite in Riyadh
 
 </li>
 <li>
 
 
 Start Date:
 
 Immediate / Short Notice Preferred
 
 </li>
 </ul>
</div>

Power BI Developer

<div>
 
 Job Title: Enterprise Data Architect
 
 
 
 Location:
 
 &nbsp;Islamabad (Onsite)
 
 
 Experience:
 
 10+ Years
 
 
 Employment Type:
 
 Full-Time
 
 
 Job Summary
 
 
 We are seeking a highly skilled and experienced
 
 Enterprise Data Architect
 
 with strong expertise in designing and implementing large-scale enterprise solutions. The ideal candidate must&nbsp;possess a minimum of 10 years of experience in enterprise and data architecture. This role involves defining data strategies, developing architecture blueprints, and ensuring alignment between IT initiatives and organizational business goals. The individual will also be responsible for optimizing data assets, establishing governance frameworks, and supporting presales activities.
 
 
 
 Key Responsibilities
 
 
 Enterprise &amp; Solution Architecture
 
 <ul>
 <li>
 
 Develop, maintain, and communicate comprehensive enterprise architecture models aligned with business objectives, IT strategy, and industry best practices.
 
 </li>
 <li>
 
 Engage with business and technology stakeholders to understand requirements and design scalable, future-ready architectural solutions.
 
 </li>
 <li>
 
 Lead the creation of data architecture blueprints, roadmaps, and implementation plans for enterprise-wide initiatives.
 
 </li>
 <li>
 
 Conduct architecture assessments to identify gaps, risks, and improvement opportunities and propose actionable recommendations.
 
 </li>
 </ul>
 
 Data Architecture &amp; Data Management
 
 <ul>
 <li>
 
 Design, implement, and maintain conceptual, logical, and physical data models supporting business and analytical needs.
 
 </li>
 <li>
 
 Define data standards, naming conventions, classification policies, and metadata frameworks to ensure data integrity and consistency.
 
 </li>
 <li>
 
 Develop end-to-end data integration strategies across diverse systems and platforms.
 
 </li>
 <li>
 
 Establish and enforce data governance frameworks to support data quality, security, compliance, and lifecycle management.
 
 </li>
 <li>
 
 Implement data profiling, cleansing, cataloging, and metadata processes to uphold data accuracy and reliability.
 
 </li>
 </ul>
 
 Database Systems &amp; Optimization
 
 <ul>
 <li>
 
 Evaluate and select appropriate database and storage technologies based on scalability, performance, and cost considerations.
 
 </li>
 <li>
 
 Design and optimize database schemas, indexes, and queries for efficient data storage, access, and performance.
 
 </li>
 <li>
 
 Provide leadership and oversight in database architecture decisions across the enterprise.
 
 </li>
 </ul>
 
 Leadership &amp; Cross-Functional Collaboration
 
 <ul>
 <li>
 
 Provide technical leadership, mentoring, and guidance to cross-functional teams, ensuring adherence to architectural standards.
 
 </li>
 <li>
 
 Support presales activities including proposals, RFPs, SOW creation, and collateral development.
 
 </li>
 <li>
 
 Foster a culture of continuous improvement and knowledge sharing across technical and non-technical teams.
 
 </li>
 <li>
 
 Stay updated on emerging technologies, trends, and best practices to continuously enhance the enterprise architecture landscape.
 
 
 </li>
 </ul>
 
 Qualifications
 
 <ul>
 <li>
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.
 
 </li>
 <li>
 
 Minimum of
 
 10 years&rsquo; experience
 
 designing and implementing enterprise and data architecture solutions in complex, large-scale environments.
 
 </li>
 <li>
 
 Strong expertise with architecture modeling tools (e.g., ArchiMate, TOGAF Architect) and enterprise architecture platforms.
 
 </li>
 <li>
 
 Proficiency in data modeling tools such as
 
 ERwin, ER/Studio
 
 , and strong knowledge of database systems (Oracle, SQL Server, MySQL, etc.).
 
 </li>
 <li>
 
 Experience with
 
 data warehousing, data lakes, big data platforms
 
 , and modern data architectures.
 
 </li>
 <li>
 
 Familiarity with
 
 cloud data platforms
 
 (AWS, Azure, GCP) and DevOps methodologies.
 
 </li>
 <li>
 
 Excellent analytical, problem-solving, and decision-making abilities.
 
 </li>
 <li>
 
 Strong communication and interpersonal skills, with the ability to engage stakeholders across all levels of the organization.
 
 </li>
 </ul>
</div>

Enterprise Data Architect

<div>
 
 
 Department:
 
 IT Development
 
 
 Reports To:
 
 &nbsp; AI Engineering Lead
 
 
 Position Summary
 
 
 The AI Engineer is responsible for designing, developing, and deploying AI-powered applications and systems that integrate with Android, iOS, and web platforms. The role involves working on applied machine learning, automation, and intelligent features that enhance customer experience and operational efficiency. The ideal candidate should have strong expertise in mobile development, backend engineering (Python), and web technologies, along with hands-on experience in building, testing, and scaling AI-driven solutions.
 
 
 Duties &amp; Responsibilities
 
 <ul>
 <li>
 
 Design, build, and maintain AI-driven features for mobile (Android/iOS) and web platforms
 
 </li>
 <li>
 
 Collaborate with cross-functional teams (mobile, backend, product) to integrate AI capabilities such as recommendation engines, chatbots, fraud detection models, and personalization systems
 
 </li>
 <li>
 
 Develop machine learning models, perform data preprocessing, and deploy production-ready models using Python frameworks (TensorFlow, PyTorch, Scikit-learn)
 
 </li>
 <li>
 
 Write clean, modular, and scalable code using engineering best practices (SOLID principles, Clean Architecture)
 
 </li>
 <li>
 
 Build and manage APIs and microservices for AI functionality using Flask, FastAPI, or Node.js
 
 </li>
 <li>
 
 Work closely with UX/UI and product teams to convert insights into intelligent user experiences
 
 </li>
 <li>
 
 Conduct model performance optimization, A/B testing, and evaluation for real-world accuracy and reliability
 
 </li>
 <li>
 
 Integrate AI systems with cloud infrastructure (AWS, GCP, or Azure) ensuring compliance, governance, and security standards
 
 </li>
 <li>
 
 Participate in code reviews, peer-learning sessions, and agile ceremonies such as scrums and sprint reviews
 
 </li>
 <li>
 
 Stay updated with emerging AI, ML, GenAI, and automation trends to propose innovative solutions&nbsp;
 
 </li>
 <li>
 
 Demonstrate Behaviors &mdash;
 
 Be Respectful, Keep Promises, Always Explore, Create Together
 
 &mdash; in daily work practices
 
 </li>
 </ul>
 
 Direct Reports
 
 <ul>
 <li>
 
 None
 
 </li>
 </ul>
 
 Role Relationships
 
 
 Internal
 
 <ul>
 <li>
 
 IT Development
 
 </li>
 <li>
 
 Information Security
 
 </li>
 <li>
 
 Operations
 
 </li>
 <li>
 
 Internal Audit
 
 </li>
 </ul>
 
 External
 
 <ul>
 <li>
 
 Vendors
 
 </li>
 </ul>
 
 Knowledge &amp; Experience
 
 
 Education
 
 <ul>
 <li>
 
 BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field
 
 </li>
 </ul>
 
 Experience
 
 <ul>
 <li>
 
 3+ years of software development experience
 
 </li>
 <li>
 
 Proven experience in AI/ML projects
 
 </li>
 <li>
 
 Hands-on experience with mobile development (Android/iOS), Python engineering, and web technologies
 
 </li>
 </ul>
 
 Competencies
 
 
 AI / ML
 
 <ul>
 <li>
 
 Flowise, PyTorch, OpenAI APIs, N8N
 
 </li>
 <li>
 
 Machine Learning &amp; Applied AI development
 
 </li>
 <li>
 
 Data preprocessing, model training, deployment
 
 </li>
 </ul>
 
 Programming
 
 <ul>
 <li>
 
 Python
 
 </li>
 <li>
 
 Swift / Kotlin
 
 </li>
 <li>
 
 JavaScript / TypeScript
 
 </li>
 </ul>
 
 Cloud &amp; DevOps
 
 <ul>
 <li>
 
 AWS / GCP
 
 </li>
 <li>
 
 Docker, CI/CD pipelines
 
 </li>
 </ul>
 
 Version Control
 
 <ul>
 <li>
 
 Git
 
 </li>
 </ul>
 
 Data Engineering
 
 <ul>
 <li>
 
 Pandas, NumPy, SQL
 
 </li>
 <li>
 
 ETL processes &amp; data pipelines
 
 </li>
 </ul>
 
 Mobile &amp; Web Development
 
 <ul>
 <li>
 
 Android Studio
 
 </li>
 <li>
 
 Xcode
 
 </li>
 <li>
 
 React / Next.js
 
 </li>
 <li>
 
 Flutter (optional)
 
 </li>
 </ul>
 
 API &amp; Backend
 
 <ul>
 <li>
 
 REST, GraphQL
 
 </li>
 <li>
 
 Flask / FastAPI
 
 </li>
 <li>
 
 Node.js
 
 </li>
 </ul>
 
 Security &amp; Compliance
 
 <ul>
 <li>
 
 Secure coding standards
 
 </li>
 <li>
 
 Data privacy and compliance frameworks
 
 </li>
 </ul>
</div>

AI Engineering Lead

Join Datamatics Technologies and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Datamatics Technologies

About Company

Power BI Developer

Enterprise Data Architect

AI Engineering Lead