149 Sap Data Architect jobs in the United Arab Emirates

Position Overview

We are seeking an experienced AWS Data Architect to design and implement an AWS Data Lake solution for managing data from our SAP ERP systems to support FP&A processes in Anaplan. This hybrid role allows the candidate to work in Pakistan (Lahore Karachi Islamabad) with the flexibility to work remotely and onsite as needed. Additionally the resource must be open to shortterm travel to Dubai to support local teams during critical events.

• AWS Data Lake Architecture: Design and implement a scalable AWS Data Lake solution to efficiently store manage and process large volumes of data.
• Data Integration: Build and maintain robust data pipelines to extract transform and load (ETL) data from SAP ERP systems into the Data Lake.
• Support for FP&A in Anaplan: Enable seamless data integration and synchronization to facilitate financial planning and analysis processes in Anaplan.
• Cloud Infrastructure Management: Optimize AWS environments for costefficiency scalability and performance.
• Data Governance and Security: Establish and enforce best practices for data security compliance and governance across the Data Lake.
• Team Collaboration: Partner with business analysts SAP specialists and Anaplan consultants to gather requirements and deliver endtoend data solutions.
• Onsite Event Support in Dubai: Provide inperson support in Dubai for critical team events and milestones when required.

• Education: Bachelors or Masters degree in Computer Science Information Technology or a related field.
• Experience:
  • 8 years in Data Architecture and Engineering roles.
  • Proven experience designing and implementing AWS Data Lake solutions.
  • Strong expertise in integrating SAP ERP data.
  • Handson experience supporting FP&A processes particularly in Anaplan.
• Technical Proficiency:
  • Expertise in AWS services: S3 Glue Lambda Redshift Athena and Kinesis.
  • Proficiency in ETL frameworks like AWS Glue or Apache NiFi.
  • Strong knowledge of SAP data structures and integration methodologies.
  • Advanced skills in Python SQL and other programming/scripting languages.
  • Knowledge of data modeling schema design and BI tools like Tableau or Power BI.
• Soft Skills:
  • Excellent communication and stakeholder management abilities.
  • Strong analytical and problemsolving skills.
  • Ability to work in hybrid environments and adapt to changing business requirements.

• AWS Certified Solutions Architect Data Analytics Specialty or related certifications.
• Familiarity with Agile methodologies and tools like Jira.
• Experience with advanced data security practices and compliance frameworks.

• Hybrid: Based in Pakistan (Lahore Karachi or Islamabad).
• Open to remote work with periodic onsite collaboration.
• Travel: Shortterm travel to Dubai for critical events or team support when required.

• Opportunity to work on cuttingedge AWS and SAP integration projects.
• Flexible hybrid work environment.
• Competitive salary and benefits.
• Exposure to international teams and projects.

If you are a highly skilled AWS Data Architect with a passion for delivering innovative solutions we encourage you to apply and join our dynamic team!

Required Experience:

Senior IC

We are seeking a skilled Quantitative Researcher to conduct market research, design trading strategies and collaborate with colleagues to refine and optimize these strategies.

Key Responsibilities:

• Conduct extensive market research to identify new trading opportunities and develop effective trading strategies
• Design and implement proof-of-concept trading strategies based on market research findings
• Research and analyze existing trading strategies to enhance risk-adjusted returns and adapt to changing market conditions

• Minimum 2 years of experience in Quantitative Research/Trading, with specialization in spreads/option strategies
• Experience with market-making trading strategies
• Strong knowledge of statistical analysis, data mining, and predictive modeling
• Understanding of market microstructure
• Experience with using L2 / L3 market data for research
• Exceptional quantitative and mathematical skills, adept problem-solving
• Proficient in any research-oriented programming language (Python preferred), ability to write efficient code
• Strong collaborative spirit, work ethics and a determined drive for success; ability to work both independently and as part of a team
• Strong communication skills, with the ability to clearly explain complex ideas

Develop and deploy models for European markets using Python, Julia, Golang/C#.

Work closely with researchers and traders to develop models, tools, and analytics solutions that improve scalability and performance.

Built and maintain tools to analyze model results, monitor them, and make informed trading decisions.

• 2+ years of working experience, preferably in commodity markets.
• Strong programming skills (Python, SQL, NoSQL, and one of GoLang/C#/C++).
• Focus on performance, reliability, and effective prioritization of multiple projects.
• Ability to work independently and detail-oriented.

• Experience in deploying models to the cloud and optimizing their performance.
• Experience developing UIs to analyze and monitor model/strategy performance.
• Experience with Julia programming language.

Job Description

We are seeking an experienced Telecom Data Modeling Specialist to join our team. As a key member of our analytics and operational systems, you will design and maintain scalable data models to support business needs.

• Develop conceptual logical and physical data models aligned with telecom business requirements.
• Translate telecom specific requirements usage analytics churn billing network KPIs into efficient data structures.
• Collaborate with data engineers to implement models across data warehouses and lakes.
• Ensure data consistency traceability and compliance across systems.

• 5 plus years of experience in data modeling with at least 2 years in telecom domain.
• Proficient with modeling tools like Erwin or ER Studio.
• Strong knowledge of relational and dimensional modeling techniques.
• Familiarity with telecom data sources CDRs OSS BSS systems.
• Excellent analytical and communication skills.

This role offers a unique opportunity to work with a talented team and contribute to the development of cutting-edge data models.

Job Title: Data Modeler and Business Insights Specialist

Job Summary:

The Data Modeler and Business Insights Specialist will design, develop, and maintain scalable data models to support telecom analytics and operational systems. This role requires a strong understanding of telecom data domains, including subscribers, call detail records (CDRs), plans, and usage metrics.

Key Responsibilities:

• Develop conceptual, logical, and physical data models aligned with telecom business needs.
• Translate telecom-specific requirements, usage analytics, churn, billing, network KPIs into efficient data structures.
• Collaborate with data engineers to implement models across data warehouses and lakes.
• Ensure data consistency, traceability, and compliance across systems.
• Maintain metadata, data dictionaries, and modeling documentation.

Required Skills and Qualifications:

• 5+ years of experience in data modeling with at least 2 years in the telecom domain.
• Proficient with modeling tools like Erwin or ER Studio.
• Strong knowledge of relational and dimensional modeling techniques.
• Familiarity with telecom data sources, CDRs, OSS, BSS systems.
• Excellent analytical and communication skills.

Senior SAP S/4HANA and BTP Data Architect

Job Description: We are seeking an experienced Senior SAP S/4HANA and BTP Data Architect to lead the design, implementation, and governance of data management services within our organization.

• Data Architecture and Management: Develop and implement a comprehensive data governance framework, ensuring data quality, consistency, and integrity across SAP S/4HANA and BTP platforms.
• Master Data Governance (MDG): Define and enforce data governance policies for SAP MDG, ensuring data consistency, accuracy, and compliance across all systems.
• Data Migration from SAP ECC to SAP S/4HANA: Design and manage the data migration strategy and roadmap, ensuring smooth, accurate, and timely migration of legacy data to S/4HANA.
• OpenText Data Archival & Retrieval: Ensure that archived data is secure, compliant with industry regulations, and easily accessible for business users when needed.
• Data Integration with SAP BTP: Integrate SAP S/4HANA with SAP BTP data services, including SAP Data Intelligence, SAP Integration Suite, and other SAP BTP tools, to enable seamless data flow across systems and improve business intelligence.

• Professional Experience: At least 5 years of experience in SAP data management, with a focus on data architecture, master data governance, and data migration.
• Technical Skills: Proficiency in SAP S/4HANA, SAP BTP, SAP Data Intelligence, SAP Integration Suite, and OpenText data archival solutions.
• Soft Skills: Strong communication, collaboration, and project management skills, with the ability to work effectively with cross-functional teams.

• Opportunity to Work with Leading-edge Technologies: Our organization is at the forefront of innovation in the field of data management, offering opportunities to work with cutting-edge technologies and solutions.
• Collaborative Work Environment: Our team is dedicated to collaboration, knowledge sharing, and mutual growth, providing a supportive and inclusive work environment.
• Continuous Learning and Development: We offer training, mentorship, and professional development opportunities to help you grow and advance in your career.

• Autonomy and Flexibility: As a Senior SAP S/4HANA and BTP Data Architect, you will have the autonomy to design and implement data management solutions that meet our organization's needs, while also having flexibility to work in a dynamic and fast-paced environment.
• Recognition and Rewards: We recognize and reward outstanding performance and contributions, providing opportunities for career advancement and financial recognition.

As a key member of our team, you will be responsible for developing high-quality predictive signals through data analysis and statistical modeling.

1. Create advanced statistical models to identify patterns and opportunities in large datasets.
2. Leverage machine learning techniques to optimize signal performance and accuracy.
3. Develop and implement data-driven strategies to drive business growth.
4. Collaborate with cross-functional teams to design and deploy system-wide solutions.

• Advanced degree in a quantitative field such as data science, statistics, mathematics, or engineering.
• Expertise in machine learning, NLP, and AI techniques is highly desirable.
• Proficiency in coding languages such as Python, R, or C++.
• Experience working with large datasets and exploring complex problems.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

A dynamic work environment that fosters innovation and creativity. Opportunities for professional growth and development. A competitive compensation package.

We are an equal opportunity employer committed to diversity and inclusion. We welcome applications from candidates with diverse backgrounds and experiences.

Job Title: Senior Associate Model Implementation and Data Management

• Manage risk data, including capturing, organizing, storing, and analyzing for development, validation, and implementation of Risk Rating Models and Scorecards.
• Conduct risk analytics and generate comprehensive risk reports.
• Provide advanced quantitative analytics support to the overall Risk Management function.
• Formulate management techniques for quality data collection to ensure adequacy, accuracy, and legitimacy of data.
• Engage in Risk Architecture projects, including implementation of various risk IT applications, data analytics, data flows, standards, and processes.
• Have strong knowledge of Information Technology systems, Risk Management systems, tools, applications, and relational database management system. Software development and ability to code.
• Develop and implement AI analytics to analyze risk data. Use machine learning techniques to identify patterns, trends, and potential risks, including exploration, data analysis, and data quality and trend assessment.
• Design data tracking and monitoring tools. Analyze and validate data ensuring data security.
• Assure all data management and AI analytics practices comply with relevant regulations and organizational policies.

• Manage and maintain data for risk models implementation and scorecards development.
• Oversee Credit Risk management processes, including Basel II and IFRS 9 compliance.
• Conduct risk analytics and generate comprehensive risk reports.
• Utilize statistical tools such as SAS, R, and Python for data analysis and model development.
• Write advanced SQL queries to extract, manipulate, and analyze data.
• Develop and implement data science, machine learning, and artificial intelligence solutions to enhance risk management processes.
• Apply techniques such as generative AI, classification, regression, clustering, and other related methods.
• Collaborate with cross-functional teams to ensure data integrity and accuracy.
• Communicate findings and insights effectively to stakeholders.
• Foster a collaborative and team-oriented work environment.
• Stay updated with industry trends and advancements in AI and data analytics.
• Continuously seek opportunities to enhance risk management processes.

We are looking for an experienced SAP Solution Architect to join our team. The ideal candidate will have over 10 years of experience in designing and implementing SAP solutions.

Key Responsibilities:

- Design and implement SAP solutions.

- Collaborate with stakeholders to gather and analyze requirements.

- Provide technical guidance to the SAP team.

- Oversee SAP project lifecycles.

- Stay updated on SAP technologies and trends.

Qualifications:

- Education: Bachelor's in Computer Science, IT, or related field.

- Experience: 10+ years in SAP solution architecture.

- Skills: Expertise in SAP modules (e.g., S/4HANA, FICO, MM, SD), integration technologies, and database management.

- Certifications: Relevant SAP certifications are a plus.