business analyst

data scientist

design manager

power bi developer

3d designer

data modeler

Deeplight

<div>Role Summary
We are seeking an accomplished Senior Data Modeller with a strong track record in banking and consulting environments. The role involves leading the design, governance, and optimization of enterprise-wide data models, ensuring high-quality, scalable, and compliant data structures that support critical financial operations, regulatory reporting, advanced analytics, and AI. The ideal candidate combines deep technical expertise with business acumen from financial services and the ability to deliver structured solutions in complex consulting projects.
Requirements
Key Responsibilities<ul>
<li>Lead the development, implementation, and maintenance of enterprise data models across banking products, risk, treasury, and regulatory domains.</li>
<li>Establish and enforce data modeling standards and governance frameworks tailored for highly regulated financial institutions.</li>
<li>Partner with Data Architects, Engineers, and Business Analysts to ensure data models align with both business needs and regulatory requirements (Basel III, IFRS, BCBS 239, AML/KYC).</li>
<li>Translate complex banking processes (credit, risk, treasury, payments, capital markets) into structured and reusable data models.</li>
<li>Oversee data lineage, metadata, and master data entities, ensuring transparency and traceability for audits and compliance.</li>
<li>Manage impact analysis for schema and structural changes, ensuring minimal disruption to core banking operations and reporting.</li>
<li>Collaborate with consulting partners and internal teams to drive data transformation programs, system migrations, and cloud adoption.</li>
<li>Deliver data model strategies that enable AI/ML initiatives, stress testing, scenario analysis, and customer analytics.</li>
<li>Mentor and guide data modelers, embedding consulting-grade delivery standards.</li>
</ul>Required Qualifications<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Information Systems, or Finance/Engineering.</li>
<li>10+ years of experience in data modeling, including banking sector exposure and consulting/Big 4/strategy firm project delivery.</li>
<li>Proven ability to design and implement conceptual, logical, and physical data models for banking domains(risk, finance, treasury, compliance, customer data).</li>
<li>Proficiency with data modeling tools (e.g., Erwin, ER/Studio, SAP PowerDesigner).</li>
<li>Strong knowledge of relational databases (Oracle, SQL Server, PostgreSQL) and modern platforms (Snowflake, BigQuery, Redshift).</li>
<li>Experience in data governance, metadata management, and regulatory reporting data structures.</li>
<li>Familiarity with cloud platforms (AWS, Azure, GCP) and modern architectures (data lakes, data mesh).</li>
<li>Excellent stakeholder management with experience presenting to C-levels in banks and financial regulators.</li>
</ul>Preferred Qualifications<ul>
<li>Previous experience in top consulting firms (Big 4, Accenture, Capgemini, or similar).</li>
<li>Hands-on involvement in banking transformation programs, such as core banking replacement, regulatory reporting modernization, or data strategy engagements.</li>
<li>Exposure to NoSQL/graph databases (Neo4j, MongoDB) and AI-driven modeling approaches.</li>
<li>Professional certifications (e.g., CDMP, DAMA, AWS/Azure Data Architect, CFA/FRM for financial context) are highly desirable.</li>
</ul>Tools &amp; Technologies (Relevant Exposure)<ul>
<li>Data Modeling: Erwin, ER/Studio, PowerDesigner</li>
<li>Banking Systems: Temenos, Finacle, Murex, Calypso</li>
<li>Databases: Oracle, SQL Server, PostgreSQL, Snowflake, BigQuery, Redshift</li>
<li>Governance: Collibra, Informatica, Alation</li>
<li>Analytics &amp; BI: Tableau, Power BI, SAS, Qlik</li>
<li>Regulatory/Finance Context: Basel III, IFRS, BCBS 239, ICAAP/ILAAP frameworks</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>

Senior Data Modeler

<div>Role Summary
We are seeking a Lead Data Modeller to drive critical data gap analysis and modelling work across our AI and transformation initiatives. This is a forward-looking role at the intersection of business, data, and consulting: the successful candidate will partner with business SMEs and senior stakeholders to understand requirements, map them to existing data assets, identify gaps, and structure findings into clear recommendations for decision-makers.
The Lead Data Modeller will combine a strong grounding in banking data domains with the ability to think ahead about the future of data modelling and discovery how emerging technologies such as Generative AI, and intelligent metadata tools will reshape how we design, manage, and discover data.
Requirements
Key Responsibilities<ul><li>
Lead the gap analysis of data requirements vs. existing assets, producing clear mappings and structured outputs.</li><li>
Translate AI use cases and regulatory/business needs into conceptual and logical data models.</li><li>
Engage with SMEs across Risk, Finance, Treasury, and CIB/RBG to elicit requirements and validate data assumptions.</li><li>
Assess and document data quality, integrity, and coverage gaps, and recommend remediation paths.</li><li>
Build reusable data models and dictionaries aligned with enterprise data strategy and governance.</li><li>
Partner with engineers and architects to ensure future-proof designs, factoring in how AI-driven tools will evolve the modelling landscape.</li><li>
Produce clear deliverables (models, frameworks, recommendations) for senior stakeholders and governance forums.</li><li>
Mentor and guide junior analysts/consultants to uplift overall modelling capability.</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Finance, Engineering, Computer Science, or related field.</li><li>
8&ndash;12 years&rsquo; experience in data modelling, data strategy, or data-driven consulting, with exposure to banking/financial services.</li><li>
Proven ability to translate business problems into structured data requirements and communicate them clearly.</li><li>
Experience in conceptual and logical data modelling (not just physical schema design).</li><li>
Strong consulting toolkit: structured problem-solving, stakeholder management, clear communication.</li><li>
Solid understanding of banking domains (CRM/Client 360, Risk, Finance, Treasury, regulatory reporting).</li><li>
Hands-on experience with data modelling tools but also a forward-looking perspective on next-gen approaches.</li><li>
Proficiency in querying databases (SQL) sufficient to validate and profile data.</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>

Lead Data Modeler

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

Visionary Tech Services LLC

<div>We are seeking a highly analytical and strategic Senior Business Architect to own the end-to-end business justification and value story for our AI solutions. You will be a pivotal figure, responsible for quantifying the opportunity in the pre-sales phase and then validating the business outcomes post-delivery. Your role is critical in translating innovative AI concepts into financially sound investments that drive measurable ROI and strategic transformation.
Requirements<ul>
<li>
Pre-Sales &amp; Business Case Development: Partner with the sales and solutioning teams to engage clients, identify value levers, and build compelling, data-driven business cases and financial models (e.g., ROI, TCO, NPV) for AI initiatives.</li>
<li>Proposal &amp; Pitch Development: Act as the value realization authority in proposal preparation, defining success metrics, building credible ROI models, and articulating the financial rationale to secure stakeholder buy-in.</li>
<li>AI MVP Design &amp; Validation: Work closely with technical teams to design AI MVPs and use-cases that are grounded in business value, and lead the effort to measure and validate their financial impact during and after implementation.</li>
<li>Practice Collaboration: Work closely with Practice Leaders to develop standardized value frameworks, financial models, and benchmarking tools to strengthen our AI business case offerings.</li>
<li>AI-Led Digital Transformation: Advise clients on the economic and operational impact of AI, acting as a trusted consultant to build their business-led AI transformation roadmaps.</li>
</ul>
Ideal Candidate Profile:<ul>
<li>
A proven track record as a Business Architect, Data Modeler, or Management Consultant with deep expertise in developing complex financial models and business cases, preferably for AI/ML use-cases.</li>
<li>Full-lifecycle experience, from pre-sales and proposal writing through to the post-implementation measurement of business value and financial return.</li>
<li>Strong expertise in data modelling, KPI definition, and translating technical capabilities into clear financial and operational benefits.</li>
<li>Highly desirable: Prior experience in a top-tier management consulting environment, with a focus on digital transformation and technology value realization.</li>
<li>A strategic mindset&mdash;you are as comfortable building a discounted cash flow model for a CFO as you are workshopping value drivers with business executives to shape an AI MVP.</li></ul></div>

Business Architect, Financial Modeller - AI Value Realisation

Drawlines Drafting Services

DRAWLINES DESIGN SERVICES LLC is looking for MEP Revit Modeler in UAECandidates from India can also apply !Years of experience: 5+ YearsProject Site Location: Abu DhabiResponsibilities:<ul><li>Develop detailed MEP models in Revit as per project requirements.</li><li>Coordinate with engineers and Coordinators to update models.</li><li>Prepare drawings and ensure accuracy as per standards.</li><li>Support clash detection and design updates.</li></ul>Skills and Qualifications:<ul><li>Diploma / Degree in Mechanical or Electrical Engineering.</li><li>Minimum 5 years&rsquo; hands-on experience in Revit MEP.</li><li>Knowledge of HVAC, Electrical, Plumbing, Fire Fighting systems.</li><li>Ability to work independently and meet deadlines.</li></ul>Interested candidates share cv through email career@drawlines.com or WhatsApp 77405500Job Types: Full-time, Permanent

MEP Revit Modeler

T S J CONTRACTING LLC

Urgent Hiring &ndash; Structural Modelers | DubaiWe are hiring 1 Structural Modelers for immediate deployment in Dubai!Requirements:<ul><li>Minimum 4&ndash;5 years of experience on Gulf projects</li><li>Must be locally available in the UAE or open to relocating</li><li>Should be ready to join within 1 week</li></ul>Salary - 7000-8000 AEDIf you meet the criteria and are ready for your next opportunity, send us your CV!Apply Now: https://lnkd.in/dTJY3FNK Email: gmpbimjob@gmail.com WhatsApp: +971 54 564 1405Let&rsquo;s build something great together!Job Type: Full-timePay: AED7,000.00 - AED8,000.00 per month

Structural BIM Modelers

CloudJune Technologies LLC

Job SummaryAs a Senior Data Engineer, you will be a foundational architect, responsible for designing, building, and maintaining the robust, scalable, secure, and high-performance data infrastructure that powers our AI/ML initiatives. You will work closely with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and Software Engineers to ensure the seamless flow of data from diverse government sources into our AI/ML pipelines, enabling the development and deployment of impactful intelligent applications across Abu Dhabi.What You'll Do:&#9679; Design, build, and maintain scalable and reliable data pipelines for ingesting, transforming, and storing large and complex datasets from various government sources (structured, semi-structured, and unstructured).&#9679; Architect and implement data warehousing and data lake solutions on cloud platforms (primarily Azure) to provide a centralized and accessible data foundation for AI/ML and analytics.&#9679; Develop and optimize ETL/ELT processes using industry-standard tools and technologies (e.g., Azure Data Factory, Databricks, Kafka) to ensure data quality, integrity, and efficient processing.&#9679; Implement and manage data governance policies and procedures, ensuring data security, compliance with government regulations, and adherence to data quality standards.&#9679; Collaborate with Data Scientists and AI Engineers to understand their data requirements and build data pipelines that meet their specific needs for model development and evaluation.&#9679; Work closely with AIOps/MLOps Engineers to ensure seamless integration of data pipelines with AI/ML workflows and deployment processes.&#9679; Design and implement data monitoring and alerting systems to proactively identify and resolve data quality issues and pipeline failures.&#9679; Optimize data storage and retrieval systems for performance and cost-efficiency, leveraging appropriate database technologies (relational, NoSQL, vector, graph).&#9679; Implement data security measures including access control, encryption, and data masking to protect sensitive government data.&#9679; Develop and maintain data catalogs and data lineage solutions to ensure data discoverability, understand data flow, and facilitate data governance.&#9679; Evaluate and adopt new data engineering tools and technologies to continuously improve our data infrastructure and processes.&#9679; Troubleshoot and resolve data-related issues across the data lifecycle, ensuring data availability and reliability for AI/ML and analytics.&#9679; Document data pipelines, data models, and data engineering processes clearly and concisely for both technical and non-technical stakeholders.What You'll Bring:&#9679; Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field with a strong focus on data management and infrastructure.&#9679; At least 3 years of hands-on experience in designing, building, and maintaining data pipelines and data infrastructure in a production environment.&#9679; Deep understanding of data warehousing concepts, data modeling techniques (e.g., Kimball, Inmon), and data lake architectures.&#9679; Proven experience with cloud platforms, especially Microsoft Azure, and their data engineering services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks).&#9679; Extensive experience with ETL/ELT tools and technologies (e.g., Apache Spark, Apache Kafka, SQL).&#9679; Strong proficiency in SQL and experience with various database systems, including:&#9675; Relational Databases: (e.g., PostgreSQL, SQL Server, Azure SQL Database).&#9675; NoSQL Databases: (e.g., MongoDB, Cassandra, Azure Cosmos DB).&#9675; Vector Databases: (e.g., Milvus, Pinecone, ChromaDB - understanding their data ingestion and retrieval aspects).&#9675; Graph Databases: (e.g., Neo4j, ArangoDB - understanding their data modeling and querying aspects).&#9679; Strong scripting and programming skills in languages such as Python or Scala for data processing and automation.&#9679; Experience with data governance frameworks, data quality management, and data security principles.&#9679; Experience with data monitoring and alerting tools.&#9679; Excellent problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues.&#9679; Strong collaboration and communication skills, with the ability to work effectively with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and other stakeholders.&#9679; A proactive and detail-oriented approach with a strong focus on building robust and reliable data infrastructure.Bonus Points For:&#9679; Experience with data virtualization technologies.&#9679; Experience with building real-time data pipelines.&#9679; Knowledge of data lineage and data catalog tools (e.g., Azure Purview).&#9679; Experience with implementing data mesh concepts.&#9679; Familiarity with infrastructure-as-code (IaC) tools (e.g., Terraform, ARM templates) for data infrastructure provisioning.&#9679; Certifications in relevant cloud platforms or data engineering technologies.&#9679; Experience working with government data regulations and compliance standards.Job Type: Full-timePay: From AED20,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>data pipelines and data infra in a production env: 5 years (Required)</li><li>ETL/ELT tools and tech, Apache Spark, Apache Kafka, SQL: 5 years (Required)</li><li>AI/ML development : 3 years (Required)</li></ul>License/Certification:<ul><li>Emirates ID (Required)</li></ul>

Explore 718+ Data modeler in Abu Dhabi this October. Find roles across top companies and apply now to boost your career.

718 data modeler jobs IN Abu Dhabi

Senior Data Modeler

Lead Data Modeler

Senior Data Engineer

Business Architect, Financial Modeller - AI Value Realisation

MEP Revit Modeler

Structural BIM Modelers

Senior Data Engineer