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data analysts with data modeling on prem cloud

DICETEK LLC

<div>We are seeking skilled Data Analysts with strong Data Modeling experience to support our data-driven AI initiatives.
The candidate will analyze, model and optimize data across on-premise and cloud databases, collaborate with business stakeholders, and enable actionable insights through well-structured data solutions.
Request you to share shortlisted CVs matching the below requirements.
Job Title: Data Analyst
Work Location: Abu Dhabi
Experience Required: 5+ years
Key Responsibilities:
<ul><li>Analyze and interpret large datasets to generate actionable insights for business stakeholders.</li><li>
Design, develop and maintain conceptual and physical data model for both on-premise and cloud database environments.</li><li>
Collaborate with Data Engineers, Architects and Business analysts to ensure proper implementation of data models in data warehouses, lakes, or marts.</li><li>
Map business requirements to data sources and identify data gaps or redundancies.</li><li>
Perform data profiling, validation and quality assessments.</li><li>
Support ETL/ELT processes and integration of multiple data sources</li><li>
Document data definitions, lineage and metadata to ensure consistencies and governance.</li></ul>
Required Skills and Qualifications:<ul><li>
5+ years of experience in data analysis and data modeling.</li><li>
Strong proficiency in SQL for querying, profiling and validation.</li><li>
Hands-on experience with data modeling tools and exposure to on-premise databases and Cloud databases.</li><li>
Familiarity with ETL/ELT processes, data pipelines and cloud data platforms.</li><li>
Strong analytical, problem solving and communication skills.</li></ul>
Nice-to-have:<ul><li>
Knowledge of data governance, cataloging or lineage tools.</li><li>
Experience in cloud data migration or hybrid data environments.</li><li>
Understanding of business domain data models.</li></ul></div>

Data Analysts with Data Modeling (On-Prem & Cloud)

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The AI Platform Engineer helps design, build and maintain the on-premises AI Infrastructure for our client, a market leader in the environment sector. The engineer plays a key role in enabling large-scale machine learning and generative AI workloads by developing robust, scalable, and secure platform solutions that support data scientists and ML engineers across the organisation.
The role requires deep Kubernetes and infrastructure automation experience to optimise performance, streamline deployments, and ensure reliability in an on-prem environment.
Requirements<ul>
<li>
Design, deploy, and manage on-premises Kubernetes clusters for AI and ML workloads.</li>
<li>Develop and maintain infrastructure-as-code using tools like Terraform, Helm, or Ansible</li>
<li>Build and optimise AI/ML pipelines and MLOps workflows for model training, deployment, and monitoring.</li>
<li>Collaborate with data science and engineering teams to deliver high-performance computing environments for large model training and inference.</li>
<li>Implement resource management, observability, and scaling strategies for GPU-based workloads.</li>
<li>Manage containerisation, networking, and storage solutions for AI workloads.</li>
<li>Ensure security, compliance, and reliability of the AI platform.</li>
<li>Automate operational processes and continuously improve platform efficiency.</li>
</ul>
What we need from you:<ul>
<li>
Proven experience managing Kubernetes clusters on-premises (not just cloud-managed solutions).</li>
<li>Experience working in a Consultancy capacity.</li>
<li>Strong background in container orchestration, CI/CD, and automation.</li>
<li>Proficiency in Linux administration, Docker, and networking fundamentals.</li>
<li>Hands-on experience with infrastructure-as-code (Terraform, Helm, Ansible, etc.).</li>
<li>Experience supporting AI/ML workloads (e.g., TensorFlow, PyTorch, Hugging Face, Ray, Kubeflow).</li>
<li>Familiarity with GPU scheduling and resource management on Kubernetes.</li>
<li>Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK, etc.).</li>
<li>Strong scripting skills (Python, Bash, or Go).</li>
<li>Understanding of DevOps and MLOps best practices.</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

AI Platform Engineer

Mind Stream

Job DescriptionJob Title: GKE-Anthos Infrastructure EngineerLocation: Doha, QatarPrimary Skills:&middot; Google Kubernetes Engine (GKE) &ndash; On-Prem and Cloud&middot; Anthos &ndash; Hybrid and Multi-Cloud Deployment&middot; Apigee Hybrid &ndash; API ManagementSecondary Skills:&middot; ELK Stack (Elasticsearch, Logstash, Kibana)&middot; CI/CD Tools &ndash; Jenkins, GitHub Actions&middot; Artifact &amp; Code Quality Tools &ndash; Nexus, SonarQube&middot; GitHub &ndash; Source Control and CollaborationKey Responsibilities:1. Manage and execute upgrades of GKE On-Prem and GKE on Cloud clusters.2. Architect and deploy Anthos across on-premises, Google Cloud, and other public cloud environments.3. Design and manage GKE clusters and workloads across hybrid environments.4. Configure and maintain Anthos Service Mesh, Config Management, and Migrate.5. Ensure security, compliance, and governance across Anthos-managed environments.6. Automate infrastructure provisioning and cluster operations using CI/CD pipelines.7. Troubleshoot and resolve issues related to Anthos, GKE, and integrated components.8. Optimize performance and reliability of hybrid cloud infrastructure.9. Collaborate with DevOps and application teams to modernize legacy applications using containers and microservices.10. Maintain detailed documentation for upgrades, configurations, and operational procedures.11. Conduct workshops and training sessions for internal teams and clients.12. Provide technical leadership and guidance on Anthos best practices.Expectations:&middot; 3-5 years of experience in cloud infrastructure and Kubernetes.&middot; Hands-on experience in upgrading and maintaining Anthos and GKE (Cloud &amp; On-Prem).&middot; Strong troubleshooting skills across hybrid environments.&middot; Ability to work independently and collaboratively in cross-functional teams.&middot; Experience integrating Nexus, SonarQube, Jenkins, and GitHub into CI/CD workflows.Certifications (Preferred):&middot; Google Cloud Certified &ndash; Professional Cloud Architect or Kubernetes Engineer&middot; Certified Kubernetes Administrator (CKA)&middot; Anthos or Apigee-related certifications (if available)Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have working with Google Kubernetes Engine (GKE) (On-Prem and/or Cloud)?</li><li>Do you have hands-on experience deploying and maintaining Anthos in hybrid or multi-cloud environments?</li><li>Have you worked with Apigee Hybrid for API management?</li><li>Do you currently hold any of the following certifications? (Please mention)</li></ul>Google Cloud Certified &ndash; Professional Cloud ArchitectGoogle Cloud Certified &ndash; Kubernetes EngineerCertified Kubernetes Administrator (CKA)Anthos/Apigee certification<ul><li>what is current and expected salary? Notice period?</li></ul>

GKE-Anthos Infrastructure Engineer / DevOps

Mindstream

SAP Data sphere Expert for Qatar (Oracle EBS to S/4HANA Transformation)Role OverviewWe are seeking an experienced SAP Datasphere Expert to support our transformation program migrating from Oracle E-Business Suite R12 to SAP S/4HANA. The role will focus on bridging data gaps between Oracle and SAP, enabling reporting (management and statutory), and supporting IFRS-based allocations and compliance reporting. The candidate will work closely with functional, technical, and finance teams to design, implement, and optimize data models, ensuring data accuracy and reporting readiness throughout the program.Key Responsibilities<ul><li>Data Integration &amp; Migrations</li><li>Assess and design data mapping between Oracle EBS R12 and SAP S/4HANA.</li><li>Configure and optimize SAP Datasphere for extracting, transforming, and harmonizing legacy Oracle data into S/4HANA.</li><li>Support data cleansing, enrichment, and validation to ensure data quality for reporting and analytics.</li><li>Reporting &amp; Analytics</li><li>Develop management reporting dashboards and statutory/financial reports using SAP Data sphere, SAP Analytics Cloud (SAC), or other relevant reporting tools.</li><li>Implement IFRS allocation models and ensure compliance with local GAAP and statutory reporting requirements.</li><li>Collaborate with finance and business stakeholders to define KPIs and reporting structures.</li><li>Gap Analysis &amp; Solution Design</li><li>Identify gaps between Oracle EBS legacy data structures and SAP S/4HANA reporting requirements.</li><li>Recommend and implement data modeling solutions in SAP Datasphere to bridge these gaps.</li><li>Ensure alignment with SAP best practices for data management and analytics.</li><li>Collaboration &amp; Stakeholder Management</li><li>Partner with SAP functional consultants (FI/CO, Group Reporting, Controlling, etc.) to align reporting structures.</li><li>Support business stakeholders in adopting new reporting capabilities.</li><li>Liaise with external vendors and internal IT teams to ensure smooth delivery.</li></ul>Required Skills &amp; Experience<ul><li>Core Expertise</li><li>Proven experience with SAP Datasphere (SAP Data Warehouse Cloud) including data modeling, integration, and consumption.</li><li>Strong background in data migration and reporting from Oracle EBS (R12) to SAP S/4HANA.</li><li>Hands-on experience with SAP Analytics Cloud (SAC) for reporting and visualization.</li><li>Understanding of IFRS and statutory reporting processes (Group Reporting, Consolidation, Allocations).</li><li>Technical Skills</li><li>Knowledge of ETL processes, data harmonization, and transformation logic.</li><li>Proficiency in SQL, data modeling, and integration technologies (ODP, SDI, APIs).</li><li>Experience with SAP S/4HANA Finance (FI/CO) data structures and reporting tools.</li><li>Familiarity with Oracle EBS R12 data model, especially finance and controlling modules.</li><li>Functional Knowledge</li><li>Understanding of finance and accounting processes (GL, AP, AR, FA, CO).</li><li>Exposure to statutory and management reporting requirements across multiple geographies.</li><li>Experience in financial consolidations and allocation models.</li><li>Other Requirements</li><li>8+ years of experience in data &amp; reporting roles, with at least 3+ years in SAP Datasphere/SAC.</li><li>Prior involvement in ERP transformation/migration projects (Oracle &rarr; SAP) preferred.</li><li>Strong communication and stakeholder management skills.</li><li>Ability to work in a cross-functional and global team environment.</li></ul>Nice to Have<ul><li>Experience with SAP Group Reporting or BPC (Business Planning &amp; Consolidation).</li><li>Familiarity with local statutory compliance reporting tools.</li><li>Knowledge of cloud integration platforms (CPI, Azure, etc.).</li><li>Exposure to data governance and security best practices.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have working with SAP Datasphere (or SAP Data Warehouse Cloud)?</li><li>How many years of experience do you have with SAP Analytics Cloud (SAC)?</li><li>Have you worked on any Oracle EBS to SAP S/4HANA migration or transformation projects?</li><li>Do you have experience in data modeling, integration, and reporting in SAP Datasphere?</li><li>Do you have hands-on experience with SAP S/4HANA Finance (FI/CO) data structures?</li><li>Have you been involved in ERP transformation or migration projects?</li><li>What is your current and expected salary? Notice period?</li></ul>

SAP Datasphere Expert (Oracle EBS to S/4HANA Transformation)

Healthsoft Middle East

Senior Data Engineer <ul><li>Should be proficient with SQL and Python</li><li>Should be proficient with Spark (preferably PySpark and Spark SQL)</li><li>Good to have experience with Azure Cloud, Azure Databricks, Azure Data Factory, ADLS and Azure SQL</li><li>Good to have experience in healthcare domain</li><li>Good to have Databricks or Azure certifications</li><li>Senior Devops Engineer (or Senior Platform Engineer)</li><li>Should be proficient with Azure Cloud</li><li>Should be proficient in administration for Azure Databricks</li><li>Should be proficient with IaC (infrastructure as code) - Terraform (or Bicep)</li><li>Should be proficient with version control and CI&amp;CD using Azure Pipelines (or equivalent e.g., Github Actions)</li><li>Good to have experience with data engineering and analytics team</li><li>Good to have experience about Spark (how compute works, infra optimizations, performance improvements)</li><li>Good to have Databricks and Azure certification</li><li>Senior Data Modeler (or BI analyst with medallion data architecture design)</li><li>Should be proficient with SQL and Spark</li><li>Should have experience in data modeling and architecture (conceptual, logical, and physical data models) &mdash; dimensional modeling, relational modeling, etc.</li><li>Should have adept knowledge about healthcare domain</li><li>Should have excellent analytical skills for data analysis and profiling</li><li>Should have technical writing skills for model documentation and to use modelling tools</li><li>Good to have experience with metadata management and data governance</li><li>Minimum 10 years of experience in similar functional domain is required.</li></ul>Job Type: Full-time

Senior Data Engineer

CNTXT AI

<div>
 
 
 Who We are :
 
 
 
 We are a dynamic, fast-growing company at the forefront of Data and AI, committed to innovation, excellence, and delivering exceptional value to our clients and stakeholders. At CNTXT, our mission is to accelerate the development of AI applications &amp; LLMs that these applications are built on. We believe that to make the best models, you need the best data.
 
 
 
 
 
 At CNTXT we leverage we provide your enterprise with data to customize powerful base generative models to safely unlock the value of AI. The CNTXT Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
 
 
 
 
 
 
 
 
 About the Role:
 
 
 We are seeking a highly motivated and talented Emirati Data Scientist to join our team. The ideal candidate will be responsible for analyzing complex datasets, developing predictive models, and deriving actionable insights to support business decisions. This role provides an excellent opportunity to work on cutting-edge AI and data-driven projects while contributing to the advancement of data science in the region.
 
 
 
 
 
 Key Responsibilities:
 
 <ul>
 <li>
 Collect, clean, and preprocess large datasets from various sources.
 </li>
 <li>
 Develop and implement machine learning models to solve business challenges.
 </li>
 <li>
 Perform statistical analysis and predictive modeling to extract insights.
 </li>
 <li>
 Collaborate with cross-functional teams, including engineers and business analysts, to develop data-driven solutions.
 </li>
 <li>
 Create data visualizations and reports to communicate findings effectively.
 </li>
 <li>
 Optimize algorithms for scalability and performance.
 </li>
 <li>
 Ensure data integrity, security, and compliance with industry standards.
 </li>
 <li>
 Stay updated with the latest advancements in AI, machine learning, and data science.
 </li>
 </ul>
 
 
 
 
 Qualifications &amp; Requirements:
 
 <ul>
 <li>
 
 Must be an Emirati (Passport Holder).
 
 </li>
 <li>
 Bachelor's or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 2+ years of experience in data science, machine learning, or AI-related projects.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, or SQL.
 </li>
 <li>
 Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
 </li>
 <li>
 Strong knowledge of data visualization tools such as Tableau, Power BI, or Matplotlib.
 </li>
 <li>
 Familiarity with big data technologies such as Hadoop, Spark, or cloud platforms (AWS, Azure, GCP).
 </li>
 <li>
 Excellent problem-solving skills and analytical mindset.
 </li>
 <li>
 Strong communication and presentation skills.
 </li>
 </ul>
 
 
 
 
 Preferred Qualifications:
 
 <ul>
 <li>
 Experience working in industries such as finance, healthcare, government, or technology.
 </li>
 <li>
 Knowledge of natural language processing (NLP) or deep learning techniques.
 </li>
 <li>
 Familiarity with data governance and ethical AI practices.
 </li>
 </ul>
 
 
 
 
 Why Join Us?
 
 <ul>
 <li>
 Opportunity to work on impactful projects shaping the future of data science
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 Professional development and growth opportunities.
 </li>
 </ul>
 
 
 
 
 If you are an Emirati data enthusiast passionate about AI and data science, we encourage you to apply and be part of a dynamic and forward-thinking team.
 
</div>

Staff Data Scientist (UAE National)

Acenet consulting

About Us: AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors. We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.Job Summary: We are seeking a highly experienced and strategic Senior Data Architect to lead the design and evolution of our enterprise data ecosystem. This critical role will be responsible for defining the architecture roadmap and making key decisions regarding the modernization of the data landscape, specifically managing the transition from legacy systems to a unified, high-performance platform centered around Data Warehouse, Data Lake, Data Security and Master Data Management (MDM) services. The ideal candidate possesses deep technical expertise, a strategic mindset, and a proven ability to govern complex data environments to enable advanced Enterprise Data Analytics.Key Responsibilities:<ul><li>Strategic Architecture &amp; Decision Making, Design &amp; Strategy: Define the conceptual, logical, and physical data architecture blueprint, making critical decisions on technology selection, integration patterns, and data flow to align with business strategy</li><li>Modernization Roadmapping: Lead the planning and execution of the data migration strategy from existing legacy systems to new, standard enterprise platforms.</li><li>Data Platform Management: Define the target state architecture for core data assets, including the optimal deployment, management, and interaction between the Data Warehouse and the Data Lake.</li><li>Performance &amp; Scalability: Ensure the data architecture is robust, highly available, and scalable to meet current and future demands of high-volume data ingestion and complex analytical queries.</li><li>Data Governance &amp; Master Data Management (MDM), MDM Implementation: Own the Master Data Management strategy and architecture, ensuring the accurate definition, governance, and synchronization of critical enterprise data (Customer, Product, Location, etc.) across all new systems.</li><li>Data Security &amp; Compliance: Architect and enforce security and access control policies (e.g., encryption, masking, role-based access) across all data layers, particularly for sensitive data originating from systems like EMR (HIPAA/PHI) and Cybersecurity.</li><li>Data Quality &amp; Lineage: Establish and enforce enterprise data quality standards, metadata management, and data lineage tracking to ensure data trust and regulatory compliance.</li><li>Enterprise Data Analytics &amp; Business Enablement, Analytics Blueprint: Design the data models (dimensional, normalized, Data Vault) within the Data Warehouse and Data Lake to optimize data access for advanced Enterprise Data Analytics, Business Intelligence (BI), and Machine Learning (ML) use cases.</li><li>Integration: Define robust ETL/ELT strategies and pipelines to efficiently ingest, transform, and load data from diverse operational sources into the analytical platforms.</li><li>Stakeholder Alignment: Collaborate with business leaders, data scientists, and analysts to translate complex business requirements into tangible, high-value data architecture solutions.</li></ul>Role Requirements and Qualifications:<ul><li>7+ years of progressive experience in Data Architecture, with at least 3 years in a senior, decision-making capacity for an enterprise-level data platform.</li><li>Experience with Data Governance tools (e.g., Collibra, Informatica Axon) or Data Catalogs.</li><li>Extensive experience with Data Warehouse management and design, including performance tuning and large-scale deployment.</li><li>Mandatory experience designing and managing Data Lake services and architectures (e.g., using major cloud providers like AWS, Azure, OCI or GCP).</li><li>Deep, hands-on expertise in Master Data Management (MDM) principles and technologies, including experience selecting and implementing an MDM solution.</li><li>Proven track record of success in leading large-scale system migration or data integration projects, specifically moving from older, disparate systems to standard ERP/CRM/Clinical systems.</li><li>Expert knowledge of data modeling techniques (Conceptual, Logical, Physical), SQL, NoSQL, and modern data streaming/processing frameworks.</li><li>Strong understanding of security frameworks and regulatory compliance requirements relevant to data (e.g., HIPAA, GDPR, CCPA).</li><li>Excellent communication, negotiation, and presentation skills, with the ability to articulate complex architectural concepts to both technical teams and C-level stakeholders.</li><li>Direct experience integrating data from Oracle Fusion, MS Dynamics, and Clinical systems.</li><li>Experience working in healthcare IT industry.</li><li>Certifications such as TOGAF, CDMP, or specialized cloud data certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer)</li></ul>Why Join Us:<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul>How to Apply: If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.Job Types: Full-time, PermanentExperience:<ul><li>Decision Making: 3 years (Preferred)</li><li>Data Architecture: 7 years (Preferred)</li></ul>

Senior Data Architect (Enterprise Modernization & Analytics)

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