graphic designer

business analyst

senior architect

architect

document controller

data architect

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region. 
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily. 
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
Role Summary 
 
As a Senior Analytical Engineer, you will be a core member of the data architect team, responsible for transforming raw data into high-quality, actionable insights. Your mission is to build, own, and maintain the data products that power our analytics, reporting, and business decisions. You will work across the entire data lifecycle, from data ingestion to delivering final insights, ensuring data quality and governance are central to everything you build.
This role requires a unique blend of technical expertise in data modeling, data pipelines, data quality, a strong business acumen to understand complex problems, and exceptional communication skills to collaborate with diverse teams. You will act as the key link between our data science, engineering, product, and the business, driving value by making data trustworthy and accessible. 
What&rsquo;s On Your Plate?
As an Analytical Engineer and Data Architect, you will be responsible for:
1. Data Product Development &amp; Ownership<ul><li>
Build and Maintain: Design, build, and maintain enterprise data warehouses and analytical data marts.</li><li>
Translate Needs: Work closely with data scientists, product managers, and business teams to understand their problems and translate complex business requirements into robust data models and data products.</li><li>
End-to-End Responsibility: Take full ownership of data products from concept to production, ensuring they are scalable, reliable, and well-documented.</li></ul>
2. Data Quality &amp; Governance<ul><li>
Enhance Data Quality: Implement and enforce data quality and governance standards throughout the data pipeline, moving checks and enrichment upstream.</li><li>
Root Cause Analysis: Proactively identify data quality and governance shortfalls, perform root cause analysis, and implement solutions with monitoring mechanisms.</li></ul>
3. Cross-Functional Collaboration<ul><li>
Collaborate: Partner with data engineers to ensure smooth data ingestion from source systems and with backend engineers to define and implement data contracts.</li><li>
Consult: Serve as a subject matter expert for analytical and business teams, guiding them on best practices for data consumption and model design.</li></ul>
4. Data Pipeline &amp; Modeling Expertise<ul><li>
Pipeline Management: Design and optimize data pipelines to support data transformation, data structures, metadata, and dependency management.</li><li>
Modern Modeling: Apply a variety of data modeling techniques, including modern methods, to build efficient and flexible data solutions.</li></ul> 
Qualifications 
What Did We Order?<ul><li>
Experience: 5+ years of experience in data management, with a strong focus on analytical engineering.</li><li>
Technical Skills: Advanced SQL knowledge and experience with relational and non-relational databases. Proficient in building and optimizing data pipelines and analytical data models.</li><li>
Data Modeling: Solid experience with various data modeling techniques, including modern methodologies.</li><li>
Center of Excellence: Build best practices and processes supporting data transformation, data structures, metadata, dependency, and workload management.</li><li>
Problem-Solving: A strong problem-solver with a &quot;figure it out&quot; growth mindset and a &quot;keep it simple&quot; approach.</li><li>
Collaboration: Proven ability to work effectively with cross-functional teams in a dynamic environment. Excellent collaborator and communicator who can translate business needs into technical solutions.</li><li>
Ownership: A strong sense of ownership and accountability for data products and their impact.</li><li>
Education: Bachelor's degree in engineering, computer science, technology, or a similar field.</li></ul></div>

Sr. Data Architect

Mindstream

We&rsquo;re Hiring! | SAP Solution Architect (SAP Suite, HANA, ARIBA, SuccessFactors): Location: Qatar Experience: 8&ndash;12 years (preferred) Duration: 1 year (extendable) Key Responsibilities: Lead as an SAP Solution Architect across full lifecycle implementations. Apply deep knowledge of SAP Suite, HANA, ARIBA, and SuccessFactors to design and deliver scalable solutions. Ensure seamless system integration while aligning with enterprise architecture principles. Provide hands-on expertise in SAP cloud solutions and hybrid landscapes. Oversee data management, security, and performance optimization within SAP environments. Drive SAP rollout projects and prepare global master data templates. Collaborate effectively with stakeholders, ensuring strong communication and problem-solving outcomes. Preferred Certifications: SAP Certified Technology Associate / Solution Architect TOGAF or equivalent enterprise architecture certificationJob Type: Full-time

SAP Solution Architect (SAP Suite, HANA, ARIBA, SuccessFactors)

Arcus Search

<div>
 
 Arcus Search have partnered with a Leading Consultancy in Dubai, who are looking for an
 
 Enterprise Architect
 
 to manage lead &amp; manage on their Mergers &amp; Acquisitions roadmap.
 
 
 
 
 
 Role: Enterprise Architect
 
 
 Location: Abu Dhabi or Dubai office
 
 
 
 
 
 
 The role:
 
 
 
 
 
 
 You will lead technology integration and governance initiatives across mergers and acquisitions, This role will assess and design target-state architectures, ensuring seamless integration of systems, data, and processes during M&amp;A activities.
 
 
 
 
 
 The successful candidate will also establish and oversee AI adoption &amp; governance, aligning AI initiatives with business strategy. Working closely with executive leadership, the Enterprise Architect will provide clear architectural direction, manage technology risks, and ensure scalability.
 
 
 
 
 
 Experience required:
 
 <ul>
 <li>
 3+ years within M&amp;A
 </li>
 <li>
 Experience spanning multiple architectural domains, including data, application portfolios, infrastructure, and solution delivery
 </li>
 <li>
 Working knowledge of EA best practices &amp; frameworks including ITIL, PMBOK and COBIT
 </li>
 <li>
 An ability to gain influence within a complex ecosystem
 </li>
 </ul>
 
 
 
 
 If interested, please apply below with your CV. Please note, you must have M&amp;A experience to be considered.
 
</div>

Enterprise Architect - M&A

Capgemini

<div>
 
 
 SAP BODS Developer
 
 
 
 Capgemini &ndash; Data Engineering Team
 
 
 
 
 
 
 Position Overview
 
 
 
 Capgemini is seeking a highly skilled and experienced SAP BODS Developer with hands-on expertise to join our Data Engineering practice. This role demands a deep understanding of SAP BusinessObjects Data Services (BODS), strong ETL capabilities, and a passion for delivering high-quality data solutions to our global clients. The ideal candidate will demonstrate strong technical acumen, a collaborative mindset, and a willingness to continuously learn and adapt within a fast-paced environment.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain ETL solutions using SAP BusinessObjects Data Services (BODS), ensuring best practices and industry standards are adhered to.
 </li>
 <li>
 Architect, configure, and optimize SAP BODS environments&mdash;including understanding system architecture, components, and project organization.
 </li>
 <li>
 Build robust data flows and workflows within BODS Designer, organizing projects for clarity, scalability, and maintainability.
 </li>
 <li>
 Create, schedule, and troubleshoot batch jobs to ensure timely and accurate data integration across multiple systems and sources.
 </li>
 <li>
 Leverage Data Integrator and Platform Transforms (lookup, merge, validation, etc.) to meet complex business and technical requirements.
 </li>
 <li>
 Implement and monitor data quality transforms, ensuring clean, reliable, and accurate data throughout the ETL lifecycle.
 </li>
 <li>
 Utilize functions, scripts, and variables within BODS for dynamic data manipulation and to support advanced transformation logic.
 </li>
 <li>
 Perform thorough data profiling and assessment to identify data issues, inconsistencies, and opportunities for data quality improvement.
 </li>
 <li>
 Design and implement robust error and exception handling mechanisms within ETL processes to ensure resilience and reliability.
 </li>
 <li>
 Develop and optimize complex SQL and Oracle queries, including views and stored procedures, ensuring efficient data extraction and transformation.
 </li>
 <li>
 Collaborate with BI/reporting teams, maintaining basic familiarity with reporting tools such as SAP BO, Tableau, or Power BI to support downstream analytics requirements.
 </li>
 <li>
 Apply performance tuning and optimization techniques to enhance ETL job efficiency, minimize runtime, and ensure scalability.
 </li>
 <li>
 Demonstrate a proactive approach to learning new technologies and cross-skilling across domains, contributing to a culture of continuous improvement within the team.
 </li>
 </ul>
 
 
 
 
 
 Must-Have Skills &amp; Experience
 
 
 <ul>
 <li>
 Extensive SAP BODS Expertise: In-depth knowledge of SAP BusinessObjects Data Services, its architecture, and its core components.
 </li>
 <li>
 BODS Designer Proficiency: Expert in data flows, workflows, and advanced project organization within BODS Designer.
 </li>
 <li>
 Batch Job Management: Proven ability to create, schedule, and troubleshoot batch jobs for high-volume data integration.
 </li>
 <li>
 Transformations Knowledge: Solid experience with Data Integrator and Platform Transforms such as lookup, merge, and validation transforms.
 </li>
 <li>
 Data Quality Implementation: Capability to define and apply data quality transforms to ensure data accuracy and reliability.
 </li>
 <li>
 Scripting &amp; Functions: Proficient in BODS scripting, functions, and variable handling for dynamic ETL logic.
 </li>
 <li>
 Data Assessment Skills: Skilled in data profiling, data quality assessment, and remediation of identified data issues.
 </li>
 <li>
 Error &amp; Exception Handling: Experience in designing resilient error and exception handling processes within ETL workflows.
 </li>
 <li>
 SQL/Oracle Expertise: Strong command of SQL and Oracle database concepts, query performance tuning, and complex stored procedure development.
 </li>
 <li>
 Reporting Tools Awareness: Familiarity with BI/reporting solutions (SAP BO, Tableau, Power BI) to understand integration requirements.
 </li>
 <li>
 Performance Optimization: Knowledge of ETL performance tuning techniques and experience in optimizing large-scale data flows.
 </li>
 <li>
 Learning Mindset: Demonstrated willingness to learn new tools and technologies, and ability to cross-skill as needed.
 </li>
 </ul>
 
 
 
 
 
 Education &amp; Professional Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Engineering, or a related discipline.
 </li>
 <li>
 Relevant certifications in SAP BODS and/or Oracle databases are an advantage.
 </li>
 </ul>
 
 
 
 
 
 Preferred Attributes
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills with the ability to work independently and collaboratively.
 </li>
 <li>
 Excellent written and verbal communication skills to effectively interact with technical and non-technical stakeholders.
 </li>
 <li>
 Prior experience working in an Agile or DevOps environment is a plus.
 </li>
 <li>
 Experience in the consulting, financial services, or technology sectors is desirable.
 </li>
 </ul>
 
 
 
 
 
 About Capgemini
 
 
 
 Capgemini is a global leader in consulting, digital transformation, technology, and engineering services. We are driven by the conviction that the business value of technology comes from and through people. At Capgemini, you&rsquo;ll be part of a dynamic and inclusive team, working on innovative projects that shape the future of data-driven enterprises.
 
</div>

SAP BODS Data Engineer

<div><div>About the job you are considering
</div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. 
</div><div></div><div>Your Role
</div><ul><li>Design, develop, and maintain ETL solutions using SAP BusinessObjects Data Services (BODS), ensuring best practices and industry standards are adhered to.
</li><li>Architect, configure, and optimize SAP BODS environments&mdash;including understanding system architecture, components, and project organization.
</li><li>Build robust data flows and workflows within BODS Designer, organizing projects for clarity, scalability, and maintainability.
</li><li>Create, schedule, and troubleshoot batch jobs to ensure timely and accurate data integration across multiple systems and sources.
</li><li>Leverage Data Integrator and Platform Transforms (lookup, merge, validation, etc.) to meet complex business and technical requirements.
</li><li>Implement and monitor data quality transforms, ensuring clean, reliable, and accurate data throughout the ETL lifecycle.
</li><li>Utilize functions, scripts, and variables within BODS for dynamic data manipulation and to support advanced transformation logic.
</li><li>Perform thorough data profiling and assessment to identify data issues, inconsistencies, and opportunities for data quality improvement.
</li><li>Design and implement robust error and exception handling mechanisms within ETL processes to ensure resilience and reliability.
</li><li>Develop and optimize complex SQL and Oracle queries, including views and stored procedures, ensuring efficient data extraction and transformation.
</li><li>Collaborate with BI/reporting teams, maintaining basic familiarity with reporting tools such as SAP BO, Tableau, or Power BI to support downstream analytics requirements.
</li><li>Apply performance tuning and optimization techniques to enhance ETL job efficiency, minimize runtime, and ensure scalability.
</li><li>Demonstrate a proactive approach to learning new technologies and cross-skilling across domains, contributing to a culture of continuous improvement within the team.
</li></ul><div>Your Skills and Experience 
</div><div></div><ul><li>Extensive SAP BODS Expertise: In-depth knowledge of SAP BusinessObjects Data Services, its architecture, and its core components.
</li><li>BODS Designer Proficiency: Expert in data flows, workflows, and advanced project organization within BODS Designer.
</li><li>Batch Job Management: Proven ability to create, schedule, and troubleshoot batch jobs for high-volume data integration.
</li><li>Transformations Knowledge: Solid experience with Data Integrator and Platform Transforms such as lookup, merge, and validation transforms.
</li><li>Data Quality Implementation: Capability to define and apply data quality transforms to ensure data accuracy and reliability.
</li><li>Scripting &amp; Functions: Proficient in BODS scripting, functions, and variable handling for dynamic ETL logic.
</li><li>Data Assessment Skills: Skilled in data profiling, data quality assessment, and remediation of identified data issues.
</li><li>Error &amp; Exception Handling: Experience in designing resilient error and exception handling processes within ETL workflows.
</li><li>SQL/Oracle Expertise: Strong command of SQL and Oracle database concepts, query performance tuning, and complex stored procedure development.
</li><li>Reporting Tools Awareness: Familiarity with BI/reporting solutions (SAP BO, Tableau, Power BI) to understand integration requirements.
</li><li>Performance Optimization: Knowledge of ETL performance tuning techniques and experience in optimizing large-scale data flows.
</li><li>Learning Mindset: Demonstrated willingness to learn new tools and technologies, and ability to cross-skill as needed.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Engineering, or a related discipline.
</li><li>Relevant certifications in SAP BODS and/or Oracle databases are an advantage
</li></ul><div></div><div>Why you should consider Capgemini 
</div><div></div><div>Growing clients&rsquo; businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you&rsquo;ll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what&rsquo;s possible. It&rsquo;s why, together, we seek out opportunities that will transform the world&rsquo;s leading businesses, and it&rsquo;s how you&rsquo;ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you&rsquo;ll build the skills you want. You&rsquo;ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. 
</div><div></div><div>About Capgemini 
</div><div></div><div>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of &euro;22.5 billion.
</div>#GetTheFutureYouWant | www.capgemini.com</div>

Virtusa

<div>Pega Lead Business Architect: 
Strong functional knowledge/Experience of the domain Banking. 
Minimum 10+ Years of experience and Certified Pega Business Analyst 
Requirement Gathering: Work closely with business stakeholders to understand their objectives, processes, and requirements for Pega-based applications. 
Communicate with business stakeholders by applying the Pega Express best practice of Directly Capture Objectives (DCO) 
Analysis and Documentation: Conduct detailed analysis of business processes, document functional requirements, and create clear specification for Pega application development. 
Collaboration: Collaborate with cross-functional teams, including developers, architects, and quality assurance, to ensure the successful implementation of Pega solutions that meet business needs. 
Pega Solution Design: Participate in designing Pega applications by providing insights into the best practices, Pega Guardrails, and ensuring scalability and sustainability. 
Continuous Improvement: Stay updated on Pega technology advancements, industry best practices, and recommend process improvements to enhance the efficiency of Pega applications. 
Strong analytical and problem-solving skills. 
Excellent communication and collaboration abilities. 
Understanding of business process management and workflow methodologies. 
 
About Virtusa

<div>About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</div></div>

Pega Lead Business Architect

DP World

<div>KEY RESPONSIBILITY
<ul><li>Support the Director in building and maintaining robust data architecture and solutions
</li><li>Design, construct, install, and maintain large-scale processing systems and data pipelines
</li><li>Extract, transform, and load (ETL) data from a wide variety of sources
</li><li>Implement data governance and data quality best practices
</li><li>Assist in optimizing query performance and monitoring system health
</li><li>Collaborate with data scientists, analysts, and business teams for data enablement
</li>Document data processes and system designs for transparency and scalability 
<li>
</li></ul>TECHNICAL COMPETENCIES
<ul><li>Strong proficiency in SQL and data modeling
</li><li>Experience with ETL tools (e.g., Talend, Informatica, Apache NiFi)
</li><li>Knowledge of cloud platforms (AWS, Azure, or GCP) and data warehousing (e.g., Snowflake, Redshift)
</li><li>Proficiency in Python/Scala for data engineering tasks
</li><li>Understanding of CI/CD practices in data workflows
</li>Familiarity with orchestration tools (e.g., Airflow, Prefect) 
<li>
</li></ul>QUALIFICATIONS, EXPERIENCE AND SKILLS
Qualification: Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field
Desirable Qualification: Master&rsquo;s in Data Engineering, Computer Science, or related discipline
Work Experience: 3&ndash;5 years of hands-on experience in data engineering or data infrastructure roles
Technical Skills:
<ul><li>Strong proficiency in SQL and data modeling
</li><li>Experience with ETL tools (e.g., Talend, Informatica, Apache NiFi)
</li><li>Knowledge of cloud platforms (AWS, Azure, or GCP) and data warehousing (e.g., Snowflake, Redshift)
</li><li>Proficiency in Python/Scala for data engineering tasks
</li><li>Understanding of CI/CD practices in data workflows
</li>Familiarity with orchestration tools (e.g., Airflow, Prefect) 
<li>
</li></ul>#LI-RA1</div>

DATA ENGINEER

Explore 1597+ Data architect in Dubai this September. Find roles across top companies and apply now to boost your career.

1597 data architect jobs IN Dubai

Sr. Data Architect

SAP Solution Architect (SAP Suite, HANA, ARIBA, SuccessFactors)

Enterprise Architect - M&A

SAP BODS Data Engineer

SAP BODS Data Engineer

Pega Lead Business Architect

DATA ENGINEER