business analyst

architect

data engineer

data scientist

azure data engineer -

data architect

Digital Corner for Network Solutions

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are hiring a Data Architect to define the blueprint for our data ecosystem. You will structure how data is stored, integrated, and governed, ensuring that our information assets are organized, secure, and accessible for advanced analytics.Responsibilities<ul><li>Design and maintain enterprise data models (logical and physical) to support business processes and analytics.</li><li>Define data architecture standards, policies, and principles to ensure data consistency and interoperability.</li><li>Collaborate with solution architects to integrate data platforms with wider enterprise applications.</li><li>Establish data governance frameworks, including master data management (MDM) and reference data strategies.</li><li>Map data flows across systems to ensure clear lineage and traceability.</li><li>Evaluate and recommend database technologies and data management tools.</li><li>Ensure data architecture complies with security and regulatory requirements.</li></ul>Requirements<ul><li>5 &ndash; 15 years of experience</li><li>Strong proficiency in data modeling tools (e.g., ER/Studio, Erwin) and SQL.</li><li>Deep understanding of different data modeling techniques (Dimensional modeling, Data Vault, 3NF).</li><li>Experience with modern data platforms (Cloud Data Warehouses, Data Lakes).</li><li>Knowledge of data governance practices and metadata management.</li></ul>Bonus<ul><li>DAMA Certified Data Management Professional (CDMP).</li><li>Experience in the Energy sector dealing with subsurface or production data.</li><li>Knowledge of NoSQL and graph databases.</li></ul>Job Type: Full-timePay: AED15,000.00 - AED22,000.00 per month

Data Architect

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are seeking a highly skilled BI Architect to design robust, scalable data architectures. You will be responsible for the technical foundation of our analytics platform, ensuring it is secure, performant, and capable of handling enterprise-scale data.Responsibilities<ul><li>Design the end-to-end architecture for Business Intelligence solutions, including data models, ETL pipelines, and semantic layers.</li><li>Define and enforce technical standards, data governance, and security protocols for all BI implementations.</li><li>Select and evaluate appropriate technology stacks and tools to meet business requirements.</li><li>Collaborate with Data Engineers to ensure efficient data ingestion and transformation (ETL) processes.</li><li>Optimize data warehouse and reporting performance to ensure fast query response times.</li><li>Create and maintain detailed architectural documentation, including data flow diagrams and system integration maps.</li><li>Ensure scalability of the BI environment to support growing data volumes and user concurrency.</li></ul>Requirements<ul><li>5&ndash;15 years of experience in BI Architecture and Data Engineering.</li><li>Deep expertise in designing data warehouses, data marts, and star/snowflake schemas.</li><li>Strong proficiency in SQL and experience with enterprise BI tools (PowerBI, Tableau, etc.).</li><li>Experience with cloud platforms (e.g., Azure, AWS) and modern data architectures (Data Lakehouse, Mesh).</li><li>Solid understanding of data security, Single Sign-On (SSO), and role-based access control.</li><li>Ability to lead technical teams and mentor developers on architectural best practices.</li></ul>Bonus<ul><li>TOGAF or DAMA certifications.</li><li>Experience designing BI solutions for large-scale industrial operations.</li><li>Knowledge of AI/ML integration within BI architectures.</li></ul>Job Type: Full-timePay: AED12,000.00 - AED22,000.00 per month

Business Intelligence Architect

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are looking for an Enterprise Architect to shape the strategic technology landscape. You will define the long-term IT vision, ensuring that our technology investments directly support the company's business goals and future growth.Responsibilities<ul><li>Define and maintain the target enterprise architecture (Business, Data, Application, Technology) and the roadmap to achieve it.</li><li>Establish and enforce architectural standards, principles, and governance frameworks across the organization.</li><li>Assess the impact of emerging technologies and industry trends on the enterprise strategy.</li><li>Manage the technology portfolio, identifying opportunities for consolidation, modernization, or retirement of legacy systems.</li><li>Collaborate with executive leadership to align IT strategy with business strategy.</li><li>Review and approve high-level designs for major initiatives to ensure architectural coherence.</li><li>Lead the selection of strategic technology platforms and vendors.</li></ul>Requirements<ul><li>Experience: 5 &ndash; 15 Years.</li><li>Extensive experience in enterprise architecture within large, complex organizations.</li><li>Deep knowledge of EA frameworks (TOGAF, Zachman).</li><li>Strong strategic thinking and business acumen.</li><li>Experience driving digital transformation and cloud migration initiatives at an enterprise scale.</li><li>Excellent leadership and negotiation skills.</li></ul>Bonus<ul><li>TOGAF Certification.</li><li>Experience in the Energy sector or with critical infrastructure.</li><li>MBA or relevant business degree.</li></ul>Job Type: Full-timePay: AED18,000.00 - AED25,000.00 per month

Enterprise Architect

DICETEK LLC

<div>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 Engineer

Mind Stream

We are seeking a highly skilled Azure Data Engineer with extensive experience in building, optimizing, and managing scalable data solutions on Microsoft Azure. The ideal candidate will have hands-on expertise in Azure Databricks, Data Factory, Data Lake Storage, and Event Hub, along with strong programming and data engineering skills.Required Skills and Qualifications:<ul><li>8+ years of experience as an Azure Data Engineer or similar role.</li><li>Strong expertise in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Event Hub.</li><li>Proficiency in programming languages such as PySpark, Scala, or SQL.</li><li>Experience with data modeling, data warehousing, and big data technologies.</li><li>Knowledge of Delta Lake and other data storage formats.</li><li>Familiarity with data integration tools and techniques.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Knowledge of data governance and data quality best practices.</li><li>Strong communication and collaboration skills.</li><li>Certification in Microsoft Azure Data Engineering or irelated areas is a plus</li><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have a minimum of 8 years of total experience as a Data Engineer or in a similar role?</li><li>How many years of hands-on experience do you have with Azure Databricks?</li><li>How many years of experience do you have working with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS)?</li><li>Do you have experience with data modeling, data warehousing, and big data technologies?</li><li>What is your current and expected salary?</li><li>What is your notice period?</li></ul>

Azure Data Engineer -

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are seeking a Lead Data Scientist to champion the use of AI and analytics within the organization. You will provide technical leadership, mentor a team of data scientists, and define the strategic direction for high-impact analytics projects.Responsibilities<ul><li>Lead and manage data science projects from conception to deployment, ensuring alignment with business goals.</li><li>Mentor and guide junior and intermediate data scientists, fostering a culture of technical excellence and innovation.</li><li>Interface with senior stakeholders to identify high-value use cases and define the scope of analytics initiatives.</li><li>Oversee the selection of appropriate methodologies and algorithms for complex projects.</li><li>Review code and models developed by the team to ensure quality and robustness.</li><li>Drive the adoption of best practices in data science, including reproducibility and documentation.</li><li>Stay abreast of the latest industry trends and technologies in AI/ML and assess their potential impact on the business.</li></ul>Requirements<ul><li>Experience: 5&ndash;15+ Years.</li><li>Extensive experience in developing and deploying machine learning solutions in a corporate environment.</li><li>Proven leadership experience, with the ability to manage teams and projects effectively.</li><li>Deep theoretical and practical knowledge of machine learning and statistics.</li><li>Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to executive leadership.</li><li>Experience with project management methodologies (Agile, Scrum).</li></ul>Bonus<ul><li>Experience leading data science teams in the Oil &amp; Gas industry.</li><li>Track record of publishing technical papers or speaking at industry conferences.</li><li>Strong business acumen and understanding of energy market dynamics.</li></ul>Job Type: Full-timePay: AED12,000.00 - AED22,000.00 per month

Lead Data Scientist

Visionary Tech Services LLC

<div>The Lead Data and BI Engineer makes trusted, timely data and insight delivery for AI. Reporting to the Head of AI and Data Engineering, this role owns the end&#8209;to&#8209;end data and BI stack from ingestion and transformation to semantic layers, metrics, and dashboards and line&#8209;manages Associate and Senior Data Engineers and BI Engineers to ship secure, governed, and reusable data products at scale.
Requirements<ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s in CS, Software Engineering, Data Engineering, or related.</li>
<li>8+ years across data engineering and BI engineering with ownership of production data platforms, pipelines, and analytics delivery.</li>
<li>Deep hands&#8209;on with batch and streaming patterns(ELT/ETL, CDC, event streams), orchestration (such as Azure Data Factory, Databricks, and Airflow), and Lakehouse stacks (such as Delta/Snowflake/BigQuery) on Azure/AWS/GCP.</li>
<li>Proven experience with semantic models and metrics layers (dbt + semantic layer, MetricFlow, or equivalent),dimensional modeling, and KPI frameworks powering BI tools (such as Power BI/Tableau).</li>
<li>Strong data governance and quality practices: lineage, cataloging, PII handling, access controls, testing and observability (such as Great Expectations/Open Lineage/Data Hub), cost and performance optimization.</li>
<li>API design and data product mindset: well&#8209;defined interfaces, contracts, SLAs, and reusable components; experience enabling self&#8209;serve analytics and domain data ownership.</li>
<li>Leadership: line management, hiring, coaching, code and model review, operating standards, and cross&#8209;functional delivery with AI, Product, Security, and Platform teams.</li>
<li>Nice to have: real&#8209;time analytics, metric stores, headless BI, dbt Semantic Layer, Microsoft Fabric; familiarity with RAI/privacy controls for AI and analytics.</li>
<li>Strategy and ownership</li>
<li>Own the data and BI architecture and roadmap across ingestion, transformation, semantic layers, and presentation.</li>
<li>Define standards for modeling, testing, observability, CI/CD, and access controls; ensure reuse and documentation.</li>
<li>Data engineering</li>
<li>Lead design and delivery of scalable ELT/ETL, CDC, and streaming pipelines; implement data contracts and SLAs.</li>
<li>Optimize reliability, performance, and cost on cloud data platforms; enforce data quality gates and lineage.</li>
<li>BI engineering and semantic modeling</li>
<li>Establish conformed dimensions and governed metrics; implement a semantic layer and metric definitions used across BI tools.</li>
<li>Lead build of analytics datasets and dashboards for exec and operational use; standardize KPI frameworks and reporting rhythms.</li>
<li>Governance and security</li>
<li>Embed governance-by-design: cataloging, lineage, RBAC/ABAC, PII handling, and audit trails; partner with Security and RAI.</li>
<li>Set data validation, testing, and monitoring policies; act on data incidents with clear runbooks.</li>
<li>Collaboration and enablement</li>
<li>Partner with AI/ML Engineering to supply reliable features and serve model outputs back into the warehouse/lake house.</li>
<li>Enable self&#8209;serve analytics with curated data products, documentation, and training for analysts and business teams.</li>
<li>Leadership and people</li>
<li>Line&#8209;manage Associate and Senior Data Engineers and BI Engineers: coach, set goals, review designs and code, and grow capabilities.</li>
<li>Drive continuous improvement in developer experience, pipeline reliability, and time&#8209;to&#8209;insight via templates and reference implementations.</li>
<li>Builds reliable data, analytics and BI data products that business teams trust for decisions. Standardizes models, metrics, and pipelines to improve performance, governance, and time&#8209;to&#8209;insight.</li></ul></div>

Lead Data and BI Engineer

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