data analyst

data engineer

data scientist

senior data engineer

senior data scientist

data engineering

Ernst & Young AE

Job Title: Director
Department: FaaS - Digital Finance - Data &amp; AI
Reports To: Partner Data &amp; AI Practice Position Summary &nbsp; We are seeking a highly experienced Senior Data Architect to lead the design and implementation of enterprise-wide data architectures, driving our clients' digital and AI transformation initiatives. Based in Dubai, you will work with C-suite leaders and technical teams to architect scalable, secure, and business-aligned data ecosystems across industries including government, financial services, energy, and retail. Key Responsibilities &nbsp; Lead Data Architecture Strategy:Define enterprise and solution-level data architecture strategies.Design modern data platforms (data lakes, warehouses, lakehouses) on cloud (Azure, AWS, GCP).Champion data mesh, data fabric, or other advanced architectural patterns.Engage with Business &amp; Technology Stakeholders:Collaborate with business units to understand their data needs and translate them into technical solutions.Support data governance, security, lineage, and catalog initiatives in partnership with Data Officers and CDOs.Architecture Delivery &amp; Oversight:Guide design of scalable data pipelines (batch/real-time), master data management, and analytics layers.Oversee data platform modernization and cloud migration programs.Provide architectural governance and quality assurance throughout project lifecycle.Team Leadership &amp; Capability Building:Mentor and manage a team of data engineers and solution architects.Contribute to internal knowledge assets, accelerators, and reusable frameworks.Client Engagement &amp; Business Development:Support pre-sales and proposal activities by shaping data architecture solutions.Build trusted relationships with client executives and technology teams.Required Qualifications &nbsp; Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or related field.12+ years of experience in data architecture, data engineering, or information management.Proven experience with:Cloud-native data platforms (e.g., Azure Synapse, Databricks, Snowflake, BigQuery)ETL/ELT tools (e.g., Informatica, Talend, dbt)Data governance tools (e.g., Collibra, Alation, Purview)Big data and streaming technologies (e.g., Kafka, Spark)Strong knowledge of data modeling, API management, security/privacy frameworks (e.g., GDPR, NDMO).Experience in leading multi-disciplinary teams in complex consulting or enterprise environments.Excellent communication and presentation skills with the ability to engage senior stakeholders.Preferred Qualifications &nbsp; Certifications in cloud (Azure, AWS, or GCP) architecture or data engineering.Experience working in the GCC region with clients in public sector, banking, or oil &amp; gas.Familiarity with AI/ML lifecycle and integration of data platforms with analytics/ML pipelines.

Director - Digital FAAS

Client of Tandem Search

Job Title: Technical Manager Data &amp; Artificial Intelligence (AI) 
Location: Dubai, UAE/Riyadh, KSA 
Firm: Big4 
 Role Overview 
We are seeking a Data &amp; AI Technical Manager to play a key role in designing, implementing, and managing advanced data and AI solutions for our clients. This role combines deep technical expertise with strong consulting skills to deliver innovative, scalable, and business-driven outcomes. As a Technical Manager, you will work with cross-functional teams, manage solution delivery, and collaborate closely with senior stakeholders to ensure the successful execution of Data &amp; AI transformation programs.
 Key Responsibilities 
<ul>
 <li>
 Solution Design &amp; Delivery 
<ul>
 <li>
 Lead the design, architecture, and implementation of data and AI platforms, pipelines, and solutions.
 </li>
 <li>
 Develop scalable models and systems in machine learning, AI, advanced analytics, and data engineering.
 </li>
 <li>
 Ensure solutions align with client objectives, compliance requirements, and industry best practices.
 </li>
 <li>
 Drive end-to-end project delivery, from requirements gathering to deployment and handover.
 </li>
 </ul>
 </li>
 <li>
 Technical Leadership 
<ul>
 <li>
 Provide subject matter expertise in cloud ecosystems (Azure, AWS, GCP), data engineering frameworks, and AI/ML tools.
 </li>
 <li>
 Guide technical teams on model development, MLOps, data governance, and responsible AI practices.
 </li>
 <li>
 Stay current with emerging AI and data technologies to embed innovation in client solutions.
 </li>
 </ul>
 </li>
 <li>
 Client Engagement 
<ul>
 <li>
 Translate business requirements into technical solutions, ensuring business value is realized.
 </li>
 <li>
 Work closely with senior stakeholders and C-level executives to explain complex technical concepts in simple, actionable terms.
 </li>
 <li>
 Support pre-sales and business development efforts by preparing proposals, demos, and solution presentations.
 </li>
 </ul>
 </li>
 <li>
 Team &amp; Practice Development 
<ul>
 <li>
 Manage and mentor data scientists, engineers, and analysts in delivering high-quality client engagements.
 </li>
 <li>
 Contribute to capability building, internal knowledge sharing, and the growth of the Data &amp; AI practice.
 </li>
 <li>
 Collaborate with global technology partners (Microsoft, AWS, Google, OpenAI) to bring cutting-edge solutions to market.
 </li>
 </ul>
 </li>
</ul>
 Qualifications &amp; Experience 
<ul>
 <li>
 Education: Bachelor s degree in Computer Science, Engineering, Data Science, or related field; Master s preferred.
 </li>
 <li>
 Experience: 8 12 years in data engineering, advanced analytics, or AI/ML, with at least 3 5 years in a managerial/technical leadership role.
 </li>
 <li>
 Proven track record in delivering end-to-end data and AI projects within large organizations or consulting firms.
 </li>
 <li>
 Strong knowledge of data platforms (Azure Synapse, Snowflake, BigQuery, Databricks), machine learning frameworks (TensorFlow, PyTorch, Scikit-learn), and data governance tools.
 </li>
 <li>
 Hands-on experience with ETL pipelines, APIs, MLOps, and cloud-native architectures.
 </li>
 <li>
 Excellent communication and stakeholder management skills, with experience presenting to senior executives.
 </li>
</ul>
 Skills &amp; Competencies 
<ul>
 <li>
 Strong technical expertise in data architecture, ML model development, and cloud-native solutions.
 </li>
 <li>
 Ability to manage complex, multi-disciplinary projects under tight timelines.
 </li>
 <li>
 Demonstrated leadership in team management and mentoring.
 </li>
 <li>
 Passion for innovation, problem-solving, and applying AI to real-world business challenges.
 </li>
</ul>

Data & AI Technical Manager

Easa Saleh Al Gurg Group (ESAG)

<div><h4 class="jobSectionHeader">Job Description</h4>
<div>We are looking for an experienced Head of Data Lake &amp; Analytics Delivery to lead the execution of enterprise-scale data initiatives. The role will focus on the end-to-end delivery of data lake platforms, data pipelines, and analytics solutions, ensuring business teams have timely, reliable, and actionable insights. This is a hands-on role requiring strong delivery management, technical depth, and stakeholder engagement skills. 


Roles &amp; Responsibilities
<div>
1. Delivery Management 
<ul><li>Own the planning, execution, and delivery of data lake and analytics projects across business units.</li><li>Drive the build and maintenance of robust data ingestion, transformation, and consumption pipelines.</li><li>Monitor delivery timelines, risks, and budgets to ensure successful project outcomes.</li><li>Apply Agile/DevOps practices for faster and more reliable releases.</li></ul>
 
2. Data Lake &amp; Platform Execution 
<ul><li>Manage integration of structured and unstructured data into the enterprise data lake.</li><li>Ensure scalability, performance, and cost optimization of cloud-based data platforms (AWS, Azure, GCP, or hybrid).</li><li>Oversee implementation of data warehousing and BI tools (Snowflake, Redshift, Synapse, BigQuery, etc.).</li></ul></div>
<div>
3. Analytics Enablement 
<ul><li>Deliver reporting, dashboards, and self-service analytics capabilities for business users.</li><li>Partner with data scientists and analysts to operationalize advanced analytics and ML models.</li><li>Ensure solutions meet business KPIs and enable measurable outcomes.</li></ul>
 
4. Governance &amp; Quality 
<ul><li>Implement data quality checks, monitoring, and remediation processes.</li><li>Enforce governance policies including data privacy, compliance, and security.</li><li>Maintain metadata management and data cataloging practices.</li></ul>
 
5. Team &amp; Vendor Management 
<ul><li>Lead and mentor data engineering and analytics delivery teams.</li><li>Manage vendor and partner engagements to ensure delivery commitments are met.</li><li>Allocate resources effectively across multiple programs.</li></ul></div></div>
<h4 class="jobSectionHeader">Skills</h4>
<div><ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Engineering, or related field.</li><li>12+ years of IT experience, with at least 5+ years in data delivery leadership roles.</li><li>Proven track record in delivering enterprise-scale data lakes and analytics platforms.</li><li>Strong knowledge of ETL/ELT, streaming data (Kafka, Kinesis), and cloud-native data services.</li><li>Hands-on exposure to BI/visualization tools (Power BI, Tableau, Qlik, Looker).</li><li>Familiarity with data governance, compliance, and security best practices.</li><li>Strong project/program management skills, with experience in Agile delivery.</li><li>Excellent communication skills for engaging with business stakeholders and technical teams.</li></ul></div></div>
 <div></div><div><div><h4 class="jobSectionHeader">Job Details</h4>
<div><div>Job Location</div>
<div>Dubai, UAE</div>
</div><div><div>Company Industry</div>
<div>Construction/Civil Engineering</div>
</div><div><div>Company Type</div>
<div>Employer (Private Sector)</div>
</div><div><div>Job Role</div>
<div>Information Technology</div>
</div><div><div>Employment Type</div>
<div>Full Time Employee</div>
</div></div><div><h4 class="jobSectionHeader">Preferred Candidate</h4>
<div><div>Career Level</div>
<div>Director/Head</div>
</div><div><div>Years of Experience</div>
<div>Min: 12 Max: 15</div></div></div></div>

Data Lake & Analytics Delivery Head

flydubai

<div>MAIN OBJECTIVE OF ROLE: To define and drive the enterprise strategy for extracting business value from data by leveraging advanced analytics, machine learning, and artificial intelligence to generate insights, develop predictive models, foster AI innovation, and integrate ethical and scalable AI into products, services, and decision-making processes that deliver competitive advantage. KEY RESPONSIBILITIES:
<ul><li>Leads the development and implementation of machine learning models, algorithms, and AI systems and explores innovative approaches to solving business problems using AI technologies.</li><li>
Drives continuous process improvement and optimization. by staying informed about advancements in data engineering and AI, recommending new tools and technologies.</li><li>
Builds, mentors, and leads a team of data and machine learning engineers, and AI specialists by providing guidance, support, and professional development opportunities to team members.</li><li>
Develops and executes the organization&rsquo;s data science and AI vision, ensuring alignment with business objectives and measurable outcomes.</li><li>
Identifies, designs, and implements AI and machine learning solutions that enhance products, services, and operational efficiency.</li><li>
Establishes frameworks for responsible, explainable, and bias-free AI use in compliance with regulations and ethical standards.</li><li>
Partners with product owners, business leaders, and data engineering teams to ensure AI initiatives are integrated, scalable, and business-driven.</li><li>
Monitors advances in AI research, tools, and technologies, proactively applying them to maintain competitive advantage.</li><li>
Defines KPIs and track ROI for AI initiatives to ensure value delivery and continuous improvement.</li><li>
Acts as a &ldquo;data translator,&rdquo; bridging technical and business domains to convert complex challenges into actionable AI-driven outcomes.</li></ul>
QUALIFICATIONS:
<ul><li>Bachelor's Degree (3+ years)</li><li>
Degree in Information Technology, Computer Science, Data Science, or related field</li><li>
Fluent in English</li><li>
Deep understanding of data governance, compliance, and security best practices. Excellent understanding of machine learning concepts and algorithms. Proven track record of delivering AI solutions from concept to production at enterprise scale. Strong background in statistical modeling, machine learning, deep learning, and AI productization. Demonstrated success in translating business strategy into AI-driven initiatives with measurable ROI. Experience in regulated industries (e.g., Airline) preferred, with a strong understanding of ethical and compliant AI practices.</li><li>
Years with qualifications: 10 - 12 years</li><li>
Google Professional Machine Learning Engineer, AWS Certified Machine Learning &ndash; Specialty, Microsoft Certified: Azure AI Engineer Associate are an advantage</li></ul>
COMPETENCIES:
<ul><li>Customer Focus</li><li>
Teamwork</li><li>
Effective Communication</li><li>
Personal Accountability &amp; Commitment to achieve</li><li>
Resilience &amp; Flexibility (Can do attitude)</li><li>
Decision Making</li><li>
Inspiring &amp; Developing Others</li><li>
Strategic Thinking</li><li>
Business Acumen</li></ul>
ISR Requirements: Reads and complies with the ISR policies of the Company and diligently reports any weakness or incidents to the respective Line Manager or the Information Security team. Completes all required ISR awareness sessions and follows associated guidelines in the day-to-day business operations.</div>

Senior Manager - Data Science & AI

Easa Saleh Al Gurg Group LLC

1. Delivery Management - Own the planning, execution, and delivery of data lake and analytics projects across business units. - Drive the build and maintenance of robust data ingestion, transformation, and consumption pipelines. - Monitor delivery timelines, risks, and budgets to ensure successful project outcomes. - Apply Agile/DevOps practices for faster and more reliable releases. 2. Data Lake &amp; Platform Execution - Manage integration of structured and unstructured data into the enterprise data lake. - Ensure scalability, performance, and cost optimization of cloud-based data platforms (AWS, Azure, GCP, or hybrid). - Oversee implementation of data warehousing and BI tools (Snowflake, Redshift, Synapse, BigQuery, etc.). 3. Analytics Enablement- Deliver reporting, dashboards, and self-service analytics capabilities for business users. - Partner with data scientists and analysts to operationalize advanced analytics and ML models. - Ensure solutions meet business KPIs and enable measurable outcomes. 4. Governance &amp; Quality - Implement data quality checks, monitoring, and remediation processes. - Enforce governance policies including data privacy, compliance, and security. - Maintain metadata management and data cataloging practices. 5. Team &amp; Vendor Management - Lead and mentor data engineering and analytics delivery teams. - Manage vendor and partner engagements to ensure delivery commitments are met. - Allocate resources effectively across multiple programs.

EMIRATES GLOBAL ALUMINIUM (EGA)

KEY ACCOUNTABILITIES:<ul><li>Data Architecture Design: Lead data architecture design to support real-time event streaming, data products, and different machine learning models solving optimisation, computer vision and LLM’s problems. This involves creating blueprints for data management systems to integrate, centralize, protect, and maintain the data sources.</li><li>System Development: Lead the design and support the implemention of large-scale data processing systems capable of handling the volume, velocity, and variety of data that needs to be analyzed and processed.</li><li>Data Strategy: Contribute and support of EGA’s data strategy, including the use of new technologies and practices, to improve the quality, reliability, and efficiency of data extraction and its use in machine learning and data product applications.</li><li>Data Modelling & Management: Spearhead the creation and maintenance of conceptual, logical, and physical data models, supporting both operational and AI use cases. Oversee data integrity and quality assurance processes across upstream, midstream and downstream.</li><li>Machine Learning Framework: Lead the design of the ML OPs framework and define Design workflows and processes that accelerate the development and deployment of machine learning models, ensuring that ML models are production-ready and scalable.</li><li>Data Governance: Lead and contribute to define policies and procedures for data governance in collaboration with the data protection officer and other stakeholders, ensuring compliance with data privacy and protection laws. Lead efforts of data governance platform integration.</li><li>Collaboration: Collaborate with IT teams, data engineers, and senior stakeholders to ensure that the data architecture supports and helps achieve strategic objectives. Lead in proposing, buy in and drive the end solution.</li><li>Communicate effectively complex data concepts, solutions, proposals in simple language to non-technical team members and senior leaders (Senior Director,C level, Executive Committee).</li><li>Mentorship and Leadership: Act as a mentor to data engineers (4-8), providing guidance and support in their professional development. Promote a culture of performance, collaboration, and continuous learning within the data team.</li><li>Innovation and Continuous Improvement: Stay up-to-date with industry trends and new technologies. Continuously explore innovative solutions and enhancements to the existing data architecture to improve its scalability, reliability, and efficiency. Championing and driving initiatives like event sourcing, data contracts & schema registries, data lineage and automation downstream.</li><li>Problem Solving: Drive solutions, anticipate and contribute to resolve technical issues before they become roadblocks, maintaining the continuity of data flow and ensuring the highest levels of data quality and integrity, I.e. alerting & monitoring strategy, change request frame work and automation, scaling up and data partitioning strategy</li><li>Project Management: Coordinate and indirectly manage data-related projects (15-20 use cases every 3 month waves), ensuring they are completed on time and within budget, meeting or exceeding stakeholder expectations.</li></ul>AUTHORITY/ DECISION MAKING:<ul><li>Design authority on data architecture, governance and technology selection to support scale up ambitions of 50-60 usecases a year.</li><li>Validate data security protocols and resource allocation decisions based on usecase requirements.</li><li>Validation of technical design and solutions to support 10 digital capabilities based on industry4.0 principles</li></ul>

Head of Data Architecture

<div>Job Description<div><h1 class="jobSectionHeader">
Data Automation Intern</h1></div>
Jan., 12 2025 &ndash; July, 10 2026 (Dubai)<div></div>
Our company will kick start your career journey within the Pharmaceutical industry. We will empower you to Invent for Life. You will be part of a diverse and inclusive, multi-skilled team of highly motivated individuals. We keep the patient at the very heart of all that we do and strive to find solutions and treatments for some of the world&rsquo;s most challenging healthcare needs.
What are the benefits for you as an Intern? 
Being an intern at our company means you will get the opportunity to develop yourself within one of the worlds leading healthcare companies:<ul><li>
Gain hands on experience within the pharmaceutical industry</li><li>
Ability to grow your potential and be part of a diverse team of employees</li><li>
Work within a challenging and dynamic work environment</li><li>
Gain strong analytical and problem solving skills</li></ul>
Your responsibilities
<ul><li>As a member of the Commercial Operations department and of the Data team you will have the opportunity to support on the refinement and automation of interfaces for the loading of data sources in the central data repository, to accelerate the availability of data and insights to business users.</li></ul><h2 class="jobSectionHeader">
Your profile</h2><ul><li>
Fluency in English</li><li>
Ability to work 30-40 hours per week</li><li>
Graduating in Q3 2026 or later</li><li>
Education in Tech and Computer Science is preferable</li><li>
Skills in programming, proficient in SQL, preferred experience in ETL tools (Extract, Transform, Load).</li><li>
Strong analytical mindset, structured and organized, proactive &amp; striving for excellence, self-driven with efficient reporting capability.</li></ul> 
 What we offer?
<ul><li>Hybrid work format</li><li>
Buddy and mentor support during your journey</li><li>
Learning opportunities.</li></ul>
Required Skills:
Accountability, Automation, Business Data Analytics, Champion Innovation, Clinical Research, Cloud Data Catalog, Communication, Corporate Productions, Data Analysis, Data Automation, Database Management, Data Science, Data Security, Data Visualization, Data Warehouse ETL, Data Wrangling, Detail-Oriented, Event Planning, Key Performance Indicators (KPI), Project Management, Python (Programming Language), Software Proficiency, Vendor Relationship Management
Preferred Skills:
Current Employees apply HERE
Current Contingent Workers apply HERE
Search Firm Representatives Please Read Carefully 
Merck &amp; Co., Inc., Rahway, NJ, USA, also known as Merck Sharp &amp; Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Intern/Co-op (Fixed Term)
Relocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
Not Applicable
Shift:
Valid Driving License:
Hazardous Material(s):
Job Posting End Date:
10/23/2025<ul><li>A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. 
</li></ul> 
Requisition ID:R369615</div>

Data Automation Intern

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6069 data engineering jobs IN Dubai

Director - Digital FAAS

Data & AI Technical Manager

Data Lake & Analytics Delivery Head

Senior Manager - Data Science & AI

Data Lake & Analytics Delivery Head

Head of Data Architecture

Data Automation Intern