planning engineer

estimation engineer

project engineer

qs engineer

sales engineer

data engineer

NMC Health plc

<div><p>We are seeking a skilled and experienced Data Engineer to join our data and analytics team within a dynamic healthcare environment. This role involves developing and maintaining data pipelines, designing data models, optimizing data storage, and supporting enterprise-wide analytics initiatives. The ideal candidate will have strong experience working with Snowflake and a solid understanding of healthcare data systems and terminology. This is a highly collaborative role that works closely with data analysts, data scientists, clinicians, and operational leaders</p></div>
<br><div><ul><li>Design, build, and maintain scalable, efficient, and reliable data pipelines
</li><li>Develop and manage data models and schemas in Snowflake to support analytical and operational use cases
</li><li>Integrate data from various healthcare systems, including EMRs, billing systems, and third-party platforms
</li><li>Perform data cleansing, transformation, and enrichment to ensure data quality and usability
</li><li>Collaborate with analysts, data scientists, and stakeholders to understand data requirements and deliver solutions
</li><li>Implement and maintain data governance, privacy, and security protocols aligned with healthcare regulations
</li><li>Monitor, troubleshoot, and optimize pipeline performance and system reliability
</li><li>Develop automated testing and validation processes to ensure data integrity
</li><li>Document data flows, architecture, and processes for transparency and future maintenance
</li><li>Support data integration with BI and visualization tools like Power BI or Tableau
</li><li>Participate in code reviews and contribute to best practices in data engineering</li></ul></div>
<br><div><p>Education and Certification
</p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or related field
</li><li>Master&rsquo;s degree is a plus
</li><li>Prior experience working in the healthcare industry is required
</li><li>Certifications in data analytics or BI tools (e.g., Microsoft Power BI, Tableau, SQL, Python, or Google Analytics) are preferred.
</li></ul><p>Knowledge and Skills
</p><ul><li>Proficient in data analysis, statistics, and visualization tools and techniques.
</li><li>Advanced Excel skills and working knowledge of SQL, Python, or R.
</li><li>Experience with business intelligence platforms like Power BI, Tableau, or QlikView.
</li><li>Strong understanding of data structures, relational databases, and data governance principles.
</li><li>Ability to interpret and present complex data in a simple and meaningful way for business stakeholders.
</li><li>Excellent problem-solving, critical thinking, and communication skills.
</li><li>Detail-oriented with the ability to manage multiple tasks and tight deadlines.
</li><li>Comfortable working in a fast-paced, cross-functional environment.
</li></ul><p>Data Analyst benefit from having experience/competency in:
</p><ul><li>Snowflake (required)
</li><li>SQL (advanced)
</li><li>Python (or equivalent scripting language)
</li><li>ETL/ELT tools
</li><li>Data visualization tools (e.g., Power BI, Tableau)
</li><li>Cloud platforms (AWS, Azure, or GCP)
</li><li>Git/version control
</li><li>CI/CD pipelines (optional but beneficial)
</li><li>Data governance
</li><li>Self-service BI tools
</li></ul><p>Experience
</p><ul><li>5+ years of experience in a Data Engineering or similar role
</li><li>Hands-on experience with Snowflake including performance tuning and data modeling
</li><li>Strong SQL development skills
</li><li>Experience working with healthcare data, including familiarity with clinical, operational, and billing datasets
</li><li>Solid understanding of data governance, data quality, and security practices in a healthcare environment
</li><li>Experience with ETL/ELT tools and CDC tools (Fivetran)
</li><li>Knowledge of cloud platforms such as AWS, Azure, or GCP
</li><li>Experience building data pipelines using Python or similar scripting languages</li></ul></div>

Data Engineer

Envision Employment Solutions

Envision Employment Solutions is currently looking for a ⁠⁠SAP Senior Data Engineer for one of our partners, a global leader in consulting, digital transformation, technology, and engineering services.
<br><br>
<b>Please note:</b> This position requires the candidate’s physical presence in the UAE. Remote or hybrid arrangements are not available at this time. The selected candidate should be able to relocate and start within one month from offer acceptance.
<br><br>
<b>Job Summary:</b><br>
Our partner is undergoing a major digital transformation and is seeking an experienced SAP Enterprise Data Platform Reporting Lead to design, develop, and manage finance and procurement reports, dashboards, and analytics within the Azure-based Enterprise Data Platform (Azure Data Factory, ADLS, Databricks). This hands-on, leadership role requires expertise in utilizing SAP data, the Azure cloud ecosystem, and Tableau visualization to drive impactful business insights. The ideal candidate will be responsible for reporting solutions end-to-end, ensuring accuracy, reliability, and real-time access to critical business data for decision-making.
<br><br>
This position requires deep technical expertise in SAP Basis, S/4HANA system administration, cloud technologies, and a hands-on approach to managing and optimizing both the SAP S/4HANA landscape and SAP BTP infrastructure.
<br><br>
<b>Responsibilities:</b><b>SAP Data Reporting & Analytics:</b><br>
<ul>
<li>Lead the design, development, and implementation of financial and procurement reports, dashboards, and analytics within the SAP Enterprise Data Platform.</li>
<li>Utilize SAP S/4HANA and SAP Business Technology Platform (BTP) data to create business-driven, real-time reporting solutions for Finance and Procurement teams.</li>
<li>Work closely with business stakeholders to define reporting requirements and translate them into technical solutions.</li>
</ul>
<b>Azure Cloud Data Platform Integration:</b><br>
<ul>
<li>Architect, develop, and manage reporting solutions on Azure Data Platform, including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Databricks.</li>
<li>Integrate SAP data with Azure services to build efficient ETL pipelines and ensure seamless reporting capabilities across systems.</li>
<li>Implement and manage data pipelines, ensuring data quality, accuracy, and consistency within the data lake environment.</li>
</ul>
<b>Tableau Visualization and Reporting:</b><br>
<ul>
<li>Lead the creation of interactive and visually compelling reports and dashboards in Tableau.</li>
<li>Design intuitive user interfaces for stakeholders to access and interpret critical business data easily.</li>
<li>Optimize Tableau reports for performance, scalability, and user experience.</li>
</ul>
<b>Data Governance & Quality:</b><br>
<ul>
<li>Define and enforce data governance frameworks to ensure that reporting and analytics are built on high-quality, consistent, and compliant data.</li>
<li>Collaborate with data owners to establish data quality rules, validation checks, and automated monitoring to guarantee the integrity of financial and procurement data.</li>
<li>Ensure reporting solutions comply with relevant data privacy regulations, including GDPR and CCPA.</li>
</ul>
<b>Collaboration and Stakeholder Management:</b><br>
<ul>
<li>Work directly with business stakeholders across Finance, Procurement, and Supply Chain to understand reporting needs and define KPIs.</li>
<li>Provide regular updates and insights to senior leadership, ensuring alignment with business goals and strategic priorities.</li>
<li>Collaborate with cross-functional teams, including SAP, Azure, and Tableau developers, to implement and deliver end-to-end reporting solutions.</li>
</ul>
<b>Performance Optimization:</b><br>
<ul>
<li>Identify and implement performance optimization strategies for data extraction, transformation, and reporting processes to ensure efficient use of resources and high responsiveness.</li>
<li>Proactively monitor data flows and performance metrics across the Azure Data Platform and Tableau environment to resolve issues and optimize reporting capabilities.</li>
</ul>
<b>Continuous Improvement and Innovation:</b><br>
<ul>
<li>Stay up-to-date with the latest technologies and trends in SAP, Azure, and data analytics, and continuously integrate innovative approaches to reporting and analytics.</li>
<li>Foster a culture of continuous improvement in reporting processes, ensuring that the organization stays at the forefront of data-driven decision-making.</li>
</ul>
<b>Training & Knowledge Sharing:</b><br>
<ul>
<li>Conduct training sessions for business users and technical teams to ensure the effective use of reporting tools and data platforms.</li>
<li>Mentor junior data analysts and consultants, helping them develop their technical and business acumen in reporting and analytics.</li>
</ul>
<b>Requirements:</b><br>
<b>Professional Experience:</b><br>
<ul>
<li>Minimum of 7-10 years of hands-on experience in SAP reporting, analytics, and data management, including experience in Finance and Procurement reporting.</li>
<li>Proven expertise in Azure Cloud Infrastructure (ADF, ADLS, Databricks) and Tableau for data visualization and reporting.</li>
<li>Strong experience in building ETL pipelines and integrating data from various SAP systems into Azure-based platforms for reporting.</li>
<li>Experience with SAP S/4HANA, SAP BTP, and familiarity with SAP Finance and Procurement modules.</li>
<li>Hands-on experience in data governance, data quality management, and building analytics solutions for large enterprises.</li>
</ul>
<b>Educational Qualifications:</b><br>
<ul>
<li>Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.</li>
<li>Relevant certifications in SAP (e.g., SAP S/4HANA), Azure, or Tableau are highly desirable.</li>
</ul>
<b>Technical Expertise:</b><br>
<ul>
<li>In-depth knowledge of Azure cloud technologies (ADF, ADLS, Databricks) and their use in data engineering and reporting solutions.</li>
<li>Expertise in data modeling, data integration, and developing scalable data solutions in SAP and Azure.</li>
<li>Advanced proficiency in Tableau for report/dashboard design, optimization, and deployment.</li>
<li>Strong understanding of SAP S/4HANA data models for Finance and Procurement.</li>
</ul>
<b>Process and Methodologies:</b><br>
<ul>
<li>Experience with Agile methodologies and collaboration tools (e.g., Jira, Confluence) for managing reporting projects.</li>
<li>Strong knowledge of data governance frameworks and reporting best practices in a cloud-based environment.</li>
</ul>
<b>Preferred Experience:</b><br>
<ul>
<li>Experience in the aviation or travel industry.</li>
<li>Experience with SAP Data Intelligence or other SAP analytics tools.</li>
<li>Familiarity with other data visualization tools and BI platforms (Power BI, Qlik).</li>
</ul>


SAP Senior Data Engineer

Halian | Managed Services, Recruitment Agency & Contract Staffing

<div>
 <strong>
  Job Title:
 </strong>
 Information Analyst &ndash; Data Analyst
 <br/>
 <br/>
 <strong>
  Experience Required:
 </strong>
 5+ years of experience with Microsoft data platform technologies.
 <br/>
 <br/>
 <strong>
  Job Summary:
  <br/>
  <br/>
 </strong>
 We are seeking a highly motivated Data Analyst to join our team.
 <br/>
 <br/>
 The
 <strong>
  Data Analyst
 </strong>
 will be responsible for designing, implementing, and optimizing data solutions using Microsoft&rsquo;s data platform technologies, including
 <strong>
  Azure Data Services, SQL Server, Power BI, and Fabric
 </strong>
 . This role involves collaborating with business stakeholders to gather requirements, develop data models, and deliver actionable insights through reports and dashboards.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain data models, ETL/ELT pipelines, and data warehouses using Microsoft technologies (SQL Server, Azure Data Factory, Synapse Analytics, Databricks, etc.).
  </li>
  <li>
   Analyze business requirements and translate them into technical specifications for data solutions.
  </li>
  <li>
   Perform data profiling, cleansing, and transformation to ensure data quality and integrity.
  </li>
  <li>
   Collaborate with business data engineers, and BI developers to understand data needs and deliver solutions.
  </li>
  <li>
   Collaborate with business stakeholders to understand data needs and translate them into technical requirements.
  </li>
  <li>
   Implement and maintain data governance, metadata management, and security best practices.
  </li>
  <li>
   Troubleshoot and resolve data-related issues and performance bottlenecks.
  </li>
  <li>
   Develop dashboards, reports, and KPIs using Power BI and other Office 365 tools (Excel, Power Query, Power Automate).
  </li>
  <li>
   Monitor data integrity and work on deduplication, normalization, and enrichment tasks.
  </li>
  <li>
   Develop and maintain documentation related to data models, processes, and definitions.
  </li>
  <li>
   Perform ad-hoc analysis and deliver data-driven recommendations.
  </li>
  <li>
   Contribute to data governance and compliance efforts, ensuring data usage adheres to company and regulatory standards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, Economics, or a related quantitative field.
  </li>
  <li>
   5+ years of experience as a Data Analyst, Business Intelligence Analyst, or similar role with a strong focus on Microsoft data technologies.
  </li>
  <li>
   Strong proficiency in SQL for data querying, manipulation, and database management.
  </li>
  <li>
   Expertise in Microsoft Power BI, including:
  </li>
 </ul>
 <ul>
  <li>
   Connecting to various data sources.
  </li>
  <li>
   Data modeling (DAX, relationships).
  </li>
  <li>
   Creating interactive reports and dashboards.
  </li>
  <li>
   Publishing and managing reports in Power BI Service.
  </li>
  <li>
   Design, develop, and maintain data pipelines, ETL processes, and data warehouses using Azure Data Factory, Synapse Analytics, SQL Server, and Databricks.
  </li>
  <li>
   Proven experience in data cleaning, transformation, and validation.
  </li>
  <li>
   Excellent analytical and problem-solving skills with a keen attention to detail.
  </li>
  <li>
   Strong communication and presentation skills, with the ability to explain complex data insights to non-technical audiences.
  </li>
  <li>
   Preferred Qualifications:
  </li>
 </ul>
 <ul>
  <li>
   Microsoft Certified: Azure Data Engineer Associate, Data Analyst Associate, or similar certifications.
  </li>
  <li>
   Experience with cloud data architecture, big data, or real-time data processing.
  </li>
  <li>
   Knowledge of DevOps practices for data projects (CI/CD pipelines for data deployments).
  </li>
  <li>
   Familiarity with tools like Git, Azure DevOps, or other version control systems.
  </li>
  <li>
   Previous experience in CRM 365 data structure and analysis
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Halian Group
 </strong>
 :
 <br/>
 <br/>
 With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realize tomorrow&rsquo;s potential. Discover the amazing things possible when you bring the right people and the right technologies together.
 <br/>
 <br/>
 At Halian, we recognize that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organizations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives. We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique. By fostering diverse and inclusive workplaces, we help our clients drive innovation, enhance collaboration, and better reflect the communities they serve.
 <br/>
 <br/>
 Information Analyst &ndash; Data Analyst in Abu Dhabi, United Arab Emirates
 <br/>
 <br/>
</div>


Information Analyst – Data Analyst (m/f/d)

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking an experienced Senior Data Catalog Solution Engineer / Architect to design, implement, and evolve our enterprise-wide data cataloging platform. This role is pivotal in bridging advanced technical capabilities with business needs, ensuring that data is discoverable, trustworthy, and governed on a scale. You will architect integrations, enforce governance standards, and enable self-service data access across diverse teams and systems. Our client team consists of frontend and backend developers, data analysts and data scientists, architects, analysts, and project managers.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Responsibilities are (but not limited to):
</p></div><div><p>Architect &amp; Implement Data Catalog Solutions
</p></div><div><p>Lead the deployment and configuration of the enterprise data catalog (including data.world), ensuring alignment with organizational data governance frameworks.
</p></div><div><p>Metadata &amp; Lineage Management
</p></div><div><p>Design metadata models, lineage tracking mechanisms, and business glossaries; implement automated metadata enrichment, sensitive data detection, and trust indicators.
</p></div><div><p>Integration &amp; Automation
</p></div><div><p>Develop and maintain connectors to cloud and on-premises systems (e.g., Snowflake, Databricks, Tableau, Power BI, Salesforce), implement REST API and webhook integrations, and enable near real-time metadata synchronization.
</p></div><div><p>Data Governance Enablement
</p></div><div><p>Configure RBAC, data ownership models, approval workflows, and lifecycle tracking; establish certification processes for &quot;golden&quot; datasets.
</p></div><div><p>Data Quality &amp; Observability
</p></div><div><p>Integrate with DQ/DO platforms (e.g., Monte Carlo, Anomalo, Soda), display quality metrics in the catalog, and build governance dashboards for monitoring health, freshness, and compliance.
</p></div><div><p>Impact Analysis &amp; Change Management
</p></div><div><p>Utilize lineage graphs to perform upstream/downstream impact assessments, manage schema drift, and coordinate controlled metadata/schema releases.
</p></div><div><p>Collaboration &amp; Adoption
</p></div><div><p>Provide technical guidance to analysts, data engineers, and business stewards; create best-practice documentation, onboarding guides, and training sessions to drive platform adoption.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Experience: 7+ years in Data Architecture, Data Engineering, or Metadata Management roles, with direct experience implementing enterprise data catalog platforms (data.world, Collibra, Alation, Informatica EDC, or similar).
</p></div><div><p>Proven ability to design extensible metadata models, manage business glossaries, and implement automated enrichment processes (AI/ML-driven where applicable).
</p></div><div><p>Hands-on experience with APIs, RESTful services, webhook/event-driven automation, and bulk metadata import/export processes.
</p></div><div><p>Deep understanding of lineage capture across ingestion, transformation, and visualization layers; experience with cross-platform lineage visualization tools.
</p></div><div><p>Strong knowledge of RBAC, sensitive data handling (PII/PHI/PCI), approval workflows, and compliance frameworks (GDPR, CCPA, HIPAA). Data Governance as a principle.
</p></div><div><p>Familiarity with integrating catalog platforms with DQ/DO tools; ability to interpret and surface trust indicators and KPIs.
</p></div><div><p>Technical Stack: Proficiency in SQL and one or more scripting languages (Python, Bash, etc.); experience with cloud data ecosystems (AWS, Azure, GCP).
</p></div><div><p>Strong stakeholder engagement, requirement gathering, and cross-functional communication skills; ability to translate technical concepts into business value.
</p></div></div><p>Nice to have
</p><div><div><p>Direct implementation experience with data.world at enterprise scale.
</p></div><div><p>Familiarity with semantic knowledge graphs, ontology/taxonomy modeling, and metadata-driven AI capabilities.
</p></div><div><p>RDF / SPARQL.
</p></div><div><p>Background in designing petabyte-scale metadata and governance solutions.
</p></div><div><p>Exceptional logical reasoning and problem-solving skills
</p></div><div><p>Hunger for learning new technologies with a &quot;can do&quot; mindset
</p></div><div><p>Algorithmic and out of box thinking while working with requirements
</p></div><div><p>Experience integrating with cloud infrastructure platforms, in particular Microsoft Azure
</p></div><div><p>Understanding of Financial Mathematics
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-116894
</p></div><div></div><div><div><p>Data Modeling
</p></div><div><p>BCM Industry</p>
</div><div><p>26/08/2025
</p></div><div><p>Req. VR-116894</p></div></div></div><p></p>

Senior Data Catalog Solution Engineer / Architect

Jobs via eFinancialCareers

<div>
 <strong>
  Organization
  <br/>
  <br/>
 </strong>
 Arab Monetary Fund
 <br/>
 <br/>
 <strong>
  Opening Date
  <br/>
  <br/>
 </strong>
 Monday, December 23, 2024 - 12:00 - Monday, June 30, 2025 - 12:00
 <br/>
 <br/>
 The Arab Monetary Fund aims to onboard a
 <strong>
  "Senior Data Scientist"
 </strong>
 in the Capacity Development and Innovation Department, reporting to the Knowledge and Innovation Division Chief.
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The Senior Data Scientist will manage, enhance, and align database management practices with international standards and ensure the reliability of the Arab Monetary Fund&rsquo;s economic database and the Arab Financial Markets database, in addition to applying advanced statistical methodologies to analyze data, facilitate results interpretation, and develop actionable insights to support the Arab Monetary Fund's flagship reports, studies, and other publications and facilitating decision-making processes and supporting key organizational activities through sophisticated data analysis and interpretation.
 <br/>
 <br/>
 <strong>
  Key Accountability Areas and Activities
  <br/>
  <br/>
 </strong>
 The key activities include, but are not limited to, the following:
 <br/>
 <br/>
 <ul>
  <li>
   Understand plans, drawings, technical specifications, and in-depth database parameters.
  </li>
  <li>
   Align databases with the AMF's strategic objectives and ensure that their designs meet organizational, and member countries&rsquo; needs.
  </li>
  <li>
   Apply advanced statistical analysis methods to interpret complex data sets and translate raw data into actionable insights and recommendations to support decision-making and reporting.
  </li>
  <li>
   Interpret raw data and transform it into actionable insights, feedback, and applications that support decision-making and inform the organization's publications and activities.
  </li>
  <li>
   Use big data, machine learning and other technics to improve data availability and analysis.
  </li>
  <li>
   Manipulate non-relational databases to extract key economic and financial developments.
  </li>
  <li>
   Provide accurate and relevant data analyses to assist in the development of reports, studies, bulletins, and other publications.
  </li>
  <li>
   Ensure data integrity and relevance in all published materials.
  </li>
  <li>
   Automatize data transformation and manipulation to expedite processes.
  </li>
  <li>
   Recommend improvements to data processes and systems to enhance functionality and support organizational objectives based on the best practices and latest technologies and technics in statistical analysis and database management.
  </li>
  <li>
   Collaborate closely with internal and external stakeholders to gather requirements, provide feedback, and deliver data-driven insights.
  </li>
  <li>
   Contribute to internal and external training effectively to both technical and non-technical audience.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications And Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A minimum of 7 years of experience in database management experience, particularly in statistical or financial sectors
  </li>
  <li>
   Bachelor&rsquo;s degree in business administration, finance, economics, investment management or a related field
  </li>
  <li>
   Master&rsquo;s degree in statistics, data science, or a related field in database management or statistics
  </li>
  <li>
   Excellent communication and writing skills in Arabic and English. French, as a third language, is a solid advantage
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 We offer an attractive package of benefits aligned with our employment policies, including a tax-free salary and supplementary allowances as housing, furniture and air ticket, schooling, and comprehensive medical insurance.
 <br/>
 <br/>
 Only shortlisted candidates will be contacted.
 <br/>
 <br/>
</div>


Senior Data Scientist

Kyndryl

<div><p><b>Who We Are
</b></p><p>At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward &ndash; always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.<br>
</p><p><br>
<b>The Role
</b></p><p>Kyndryl is seeking an accomplished Senior Data Architect, an individual contributor and team leader, to design, build, and operate robust data ecosystems for our customers. This pivotal role involves shaping and managing data architectures that enable scalable, secure, and innovative data solutions aligned with business strategies.
</p><p></p><p><b>Key Responsibilities:
</b></p><ul><li>Design and implement modern data architectures encompassing data foundations, data fabric, and integration with AI and agentic AI systems.
</li><li>Develop and maintain comprehensive data models (conceptual, logical, physical) and schema designs that support large-scale enterprise environments.
</li><li>Lead the design of ETL processes and DataOps workflows ensuring efficient, high-quality data integration and transformation.
</li><li>Establish and enforce data governance policies, metadata management, and data quality standards.
</li><li>Collaborate with cross-functional teams including business stakeholders, data engineers, AI platform architects, and technical leadership to translate requirements into scalable data solutions.
</li><li>Oversee and guide team members and other data architects, providing mentorship and technical direction.
</li><li>Evaluate and adopt technologies for cloud data platforms, data lakes, warehouses, and streaming data ecosystems.
</li><li>Drive cost optimization and performance tuning of data platforms.
</li><li>Ensure compliance with industry standards and regulatory requirements.
</li><li>Promote best practices in data security, access control, and data lineage management.
</li>Lead innovation in data architecture strategies to support cutting-edge AI/ML initiatives and agentic AI system integration.<br>
<li>
</li></ul><p></p><p><br>
<b>Who You Are
</b></p><p><b>Required Qualifications:
</b></p><ul><li>Bachelor&rsquo;s degree in computer science, Information Systems, Engineering, or related fields; Master&rsquo;s degree preferred.
</li><li>Minimum 10+ years&rsquo; experience designing and implementing large-scale data architectures and data foundations.
</li><li>Deep expertise in data modeling, schema design, ETL framework development, and DataOps.
</li><li>Strong knowledge of modern data ecosystem technologies including but not limited to cloud data platforms (AWS, Azure, GCP), data lakes, data warehouses (Snowflake, Redshift, Synapse), streaming platforms (Kafka), and metadata/catalog tools.
</li><li>Knowledge on Palantir Foundry, (Palantir AIP is preferred)
</li><li>Proficiency with integration of data architectures with AI platforms and familiarity with agentic AI systems.
</li><li>Solid understanding of data governance, data security, and compliance frameworks.
</li><li>Proven team player with excellent collaboration skills across business and technical teams.
</li><li>Experience with data architecture supporting financial services or related regulated industries is a strong plus.
</li></ul><p></p><p><b>Preferred Qualifications:
</b></p><ul><li>Experience in requirements gathering and translating business needs into technical designs.
</li><li>Proficiency with DevOps and CI/CD practices for data workflows.
</li><li>Strong architecture skills with hands-on cloud platform experience.
</li><li>Excellent communication, presentation, and organizational abilities to lead effective stakeholder engagement.
</li><li>Certifications in data architecture or cloud platforms (e.g., CDMP, AWS Certified Solutions Architect) are advantageous.
</li><li>Arabic language skills
</li></ul><p></p><p>This role offers a unique opportunity to architect the future of data ecosystems at Kyndryl, driving innovation and enabling data-driven decision-making at enterprise scale. We seek a strategic thinker with deep technical acumen and leadership abilities who thrives designing foundational data capabilities that empower advanced AI and analytics initiatives.
</p><p></p><p>#AgenticAI<br>
</p><p><br>
<b>Being You
</b></p><p>Diversity is a whole lot more than what we look like or where we come from, it&rsquo;s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we&rsquo;re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you &ndash; and everyone next to you &ndash; the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That&rsquo;s the Kyndryl Way.<br>
</p><p><br>
<b>What You Can Expect
</b></p><p>With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter &ndash; wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
</p><p></p><p><b>Get Referred!
</b></p><p>If you know someone that works at Kyndryl, when asked &lsquo;How Did You Hear About Us&rsquo; during the application process, select &lsquo;Employee Referral&rsquo; and enter your contact's Kyndryl email address.</p></div>

Data Architect

Abu Dhabi Department of Economic Development

<div>
 <p>
  For Fresh graduate Emirates only
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Internship Scope &mdash; ADRO (Data &amp; Research)
  </strong>
 </p>
 <p>
  <strong>
   Purpose
  </strong>
 </p>
 <p>
  Support ADRO by (1) cleaning and standardizing internal databases, (2) mapping and piloting partner integrations, and (3) generating insights and new service concepts for Golden Visa (GV) holders&mdash;then packaging a sustainable plan so the work continues after the internship.
 </p>
 <p>
  <strong>
   Duration &amp; Structure
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Length:
   </strong>
   10&ndash;12 weeks (full‑time)
  </li>
 </ul>
 <p>
  .
 </p>
 <p>
  <strong>
   Preferred Profile (Eligibility)
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Education:
   </strong>
   Recent graduates from
   <strong>
    Abu Dhabi universities
   </strong>
   , degrees in
   <strong>
    IT, Computer Science, Information Systems, Data/Analytics
   </strong>
   , or
   <strong>
    Industrial Engineering
   </strong>
   with systems focus.
  </li>
  <li>
   <strong>
    Skills:
   </strong>
  </li>
  <li>
   SQL and/or Python for data cleaning; strong Excel.
  </li>
  <li>
   Familiarity with
   <strong>
    APIs/integration basics
   </strong>
   (REST, CSV/SFTP, connectors).
  </li>
  <li>
   Dashboarding (Power BI / Looker Studio / Tableau / advanced Excel).
  </li>
  <li>
   Research methods (surveys/interviews), synthesis, business writing.
  </li>
  <li>
   <strong>
    Experience:
   </strong>
   Coursework or internships in
   <strong>
    database creation/maintenance
   </strong>
   , analytics, or systems integration; exposure to CRM or case‑management tools is a plus.
  </li>
 </ul>
 <p>
 </p>
</div>


Fresh Graduate

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