What Jobs are available for Analytics Consulting in Dubai?

Overview

Мы ищем опытного Data Engineer / Python Developer с сильными навыками работы с Python и облачными платформами данных для трансформации, управления и оптимизации финансовых данных.

• Проектирование, разработка и поддержка ETL/ELT-процессов для финансовых и торговых данных.
• Работа с ClickHouse, Snowflake, Postgres, Kafka для эффективного хранения, обработки и управления данными.
• Взаимодействие с аналитиками, риск-менеджерами и трейдерами для предоставления чистых, структурированных наборов данных.
• Разработка и поддержка дашбордов, API и автоматизированных отчетов.
• Внедрение лучших практик в области качества данных, их управления и отслеживания.
• Оптимизация производительности баз данных, мониторинг конвейеров данных и поддержка в продакшене.

WeSource HR is currently seeking a Project Manager / Scrum Master – Data & Analytics to lead high-impact data initiatives for one of our key clients in Dubai. This is a contract-based role ideal for a proactive and organized professional with a strong background in Agile methodologies and data-driven project delivery. You’ll play a pivotal role in driving collaboration, removing roadblocks, and ensuring projects stay aligned with strategic business goals.

Manage end-to-end delivery of data projects
Foster collaboration between business and technical teams
Implement agile best practices and manage project backlogs

5+ years in project management, with 2+ in agile environments
Certified Scrum Master (CSM or equivalent)
Experienced with data engineering, analytics, BI tools
Skilled in JIRA, Azure DevOps, and project tracking tools

At WeSource HR, we specialize in connecting top-tier talent with innovative organizations across the Middle East. Based in Dubai, our mission is to streamline human resources solutions through integrity, agility, and a people-first approach. As a trusted partner in workforce development, we empower businesses by delivering customized HR and talent acquisition strategies. Learn more at wesource.ae.

ESL Group seeks an experienced professional to join our organization as the Manager Operations, Data Analytics. This key role will drive strategy, oversight, and management of our data and analytics initiatives. This is a pivotal role in driving a company-wide transformation, partnering with key stakeholders. The ideal candidate will have a background in the carrier or shipping line industry, with a deep understanding of their unique data and analytics needs.

Responsibilities:

• Develop and implement a comprehensive data and analytics strategy aligned with the overall business objectives to drive data literacy and data-driven decision-making across the organization.
• Collaborate with cross-functional teams to identify and define key performance indicators (KPIs) and metrics that align with the business goals and support data-driven decision-making.
• Ensure data accuracy, integrity, and security throughout the organization by implementing robust data governance and management practices.
• Identify opportunities to leverage advanced analytics techniques, such as predictive modelling and AI, to derive insights, improve operational efficiency, and enhance service offerings.
• Stay current with industry trends, technologies, and best practices in data and analytics and apply them to drive innovation and continuous improvement.
• Develop strong relationships with internal stakeholders, including senior leadership, to understand their requirements, provide analytics solutions, and communicate insights effectively.
• Track and report on key performance metrics related to data and analytics initiatives and present findings, trends, and recommendations to the executive team.

Requirements:

• Tools Smart forecasting – partners’ and ESL’s volumes using algorithms based on historical volumes and “on the books” data.
• Deploying AI/optimization – Researching, sourcing and implementing new tools that enhance visibility and decision making, prepare data landscape to take ESL’s offerings online
• Source all options of external data including known sources on volumes (Eg: CTS, RITAS) and price (Xeneta, CCFI,SCFI). Similarly, also look for ways to build a lead indicator of demand and supply using data from eSea, commodity prices, supply data and others like PMI.
• Setup data connections and key metrics like booking uptake as well as assist with automation of tasks and reporting

• Bachelor's degree in a relevant field, such as Data Science, Computer Science, Statistics, or a related discipline. A master's degree or higher is preferred—a minimum of 8 years of progressive experience in data and analytics.
• A background in the carrier or maritime industry, with an understanding of its challenges is preferred but not mandatory.
• Proven track record of developing and implementing successful data and analytics strategies, driving business growth, and delivering actionable insights.
• Demonstrated expertise in data management, data governance, and data quality assurance.
• Knowledge of advanced analytics techniques, such as predictive modelling and AI, and their applications in the industry.
• Strong communication and presentation skills, with the ability to translate complex analytical concepts into clear and concise insights for non-technical stakeholders.
• Outstanding problem-solving and analytical thinking abilities, with a keen attention to detail.
• Ability to work effectively in a fast-paced, dynamic environment and prioritize and manage multiple projects simultaneously.
• Enjoys driving transformation and has experience with change management in complex business environments

If you are ready to take on this exciting challenge and become a key player in the dynamic field of shipping, we encourage you to apply and join our team in driving success at ESL.

Interested parties please submit your full resume at

Overview

The American University in the Emirates is seeking a highly skilled and motivated Data Engineer to join our Institutional Effectiveness and Data Analytics team. The successful candidate will design and implement data pipelines to support strategic decision-making, institutional research, accreditation, and academic/administrative operations. The role involves building data ingestion frameworks from multiple sources, preparing datasets for AI, predictive analysis, clustering, and classification models , and developing visualizations, KPIs, and scorecards for executive reporting.

• Design, develop, and maintain data pipelines for ingestion, transformation, and integration from diverse sources (databases, APIs, cloud systems, ERP, LMS, CRM, etc.).
• Build and optimize ETL/ELT workflows to ensure data accuracy, consistency, and availability.
• Create dashboards, KPIs, and scorecards using Power BI and other visualization tools to support academic, administrative, and executive stakeholders.
• Develop predictive models, clustering, and classification algorithms for student success, enrollment forecasting, and operational insights.
• Experience deploying ML models in production using Docker, Kubernetes, and serverless frameworks.
• Familiar with monitoring tools such as Prometheus, Grafana, and Langfuse for real-time tracking, alerting, and performance diagnostics.
• Collaborate with academic and administrative departments to identify analytical needs and transform them into scalable data solutions.
• Ensure data governance, security, and compliance with university and regulatory policies.
• Support AI-driven initiatives in institutional research, student engagement, and accreditation compliance.
• Continuously evaluate emerging tools and methodologies for data engineering, visualization, and analytics .

• Strong proficiency in data engineering and pipeline design (ETL/ELT).
• Expertise in SQL, Python for data processing and analytics.
• Experience with cloud data platforms (Azure Data Factory, AWS Glue, or GCP BigQuery) preferred.
• Solid understanding of machine learning techniques : regression, classification, clustering, and predictive analysis.
• Advanced skills in data visualization and BI tools : Power BI, Tableau.
• Ability to design and develop KPI dashboards, scorecards, and executive reports .
• Familiarity with data governance, quality, and metadata management .
• Strong problem-solving skills with the ability to translate business questions into analytical models.
• Excellent communication and collaboration skills to work with academic and administrative stakeholders.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Statistics, or related field .
• 3–5 years of experience in data engineering, analytics, or business intelligence (experience in higher education preferred).
• Hands-on experience with AI/ML libraries (scikit-learn, TensorFlow, PyTorch, etc.) is an advantage.
• Proven track record of building data models, pipelines, and visualization dashboards .
• Certification in Azure Data Engineer, AWS Data Analytics, or Tableau/Power BI is a plus.

• Experience working in an academic/university setting with exposure to student information systems and accreditation reporting .
• Knowledge of institutional research methodologies and KPI frameworks.
• Strong passion for leveraging data for student success and organizational excellence .

The American University in the Emirates (AUE) invites applications from well-qualified candidates for a range of faculty and administrative positions. AUE is located in Dubai Intl. Academic City.

AUE is not just a place of learning but a hub of innovation and growth, where your expertise and aspirations find a welcoming environment.

At AUE, we believe Nothing is Impossible is the Pathway to Success

AUE comprises seven dynamic colleges: College of Law, College of Education, College of Design, College of Business Administration, College of Media and Mass Communication, College of Computer Information Technology and College of Security and Strategic Studies. Each college boasts unique strengths and prestigious accreditations, reflecting our commitment to providing a world-class education.

The American University in the Emirates is accredited by SACSCOC (the Southern Association of Colleges and Schools Commission on Colleges) to award baccalaureate and master’s degrees. Degree-granting institutions also may offer credentials such as certificates and diplomas at approved degree levels.

The American University in the Emirates is officially licensed to operate as a higher education institution and all its programs are accredited by CAA (the Commission for Academic Accreditation), Ministry of Education, United Arab Emirates.

The College of Business Administration is a proud member of AACSB (The Association to Advance Collegiate Schools of Business), and its degree programs (Bachelor of Business Administration, Master of Business Administration, Master of Sport Management) are accredited by AACSB as of 2022.

The Bachelor of Computer Science in the College of Computer Information Technology is accredited by the Computing Accreditation Commission of ABET .

NASAD (The National Association of Schools of Art and Design) has granted the Bachelor of Science in Fashion Design, Bachelor of Science in Graphic Design, Bachelor of Science in Interior Design, and Bachelor of Science in Animation in the College of Design , the designation of Substantial Equivalency with accredited programs in the United States.

We are looking for an experienced Head of Data Lake & 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.

• 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.
• Data Lake & 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.).
• 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.
• Governance & 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.
• Team & 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.

About Us
Estadeem is a Management Consultancy firm based in Dubai UAE. We are dedicated to helping businesses navigate the challenges of today's dynamic business landscape and work closely with our clients to understand their unique needs and develop customized solutions that meet their specific requirements. We're looking for a self-starter and a highly motivated individual to join our family and be part of our future success.

Job Overview
We are seeking a talented and motivated Website Developer to join our team. You will create, structure, and manage innovative responsive websites that deliver exceptional user experiences. Collaborating with cross-functional teams, you'll translate client needs into functional, visually appealing, and technically robust web solutions. Your expertise will drive innovation, enhance site performance, and ensure a competitive online presence.

We are eager to welcome a dedicated and highly skilled Website Developer to join our team, offering you the opportunity to make a substantial impact and influence our organization's success.

Job Type: Full-time
Pay: AED - AED per month

Minimum Requirements:
Education: Bachelor's (Required)
License/Certification: Driving License (Required)

Summary:
Seeking a skilled Website Developer in Dubai to create responsive sites. Requires a Bachelor's, 1-3 years experience, and strong problem-solving and communication skills.

Python and Kubernetes Software Engineer - Data/ AI/ML / Analytics

Posted 3 days ago

Full time

Dubai, AE

Middle

Salary Range:To be discussed

Full Job Description

Summary

Canonical seeks Python & Kubernetes Engineers for open-source AI/ML solutions on Ubuntu, fostering global collaboration in tech, data, and cloud innovation.

Description

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu , is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT.

Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing.

We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure. As a software engineer on the team, you'll collaborate on an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast.

You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform.

These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services. We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location: This initiative spans many teams that are home-based in EMEA, Americas and APAC time zones, so we can accommodate candidates in almost any location. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like
Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
Master distributed systems concepts such as observability, identity, tracing
Work with both Kubernetes and machine-oriented open source applications
Collaborate proactively with a distributed team of engineers, designers and product managers
Debug issues and interact in public with upstream and Ubuntu communities
Generate and discuss ideas, and collaborate on finding good solutions

What we are looking for in you
Professional or academic software delivery using Python or Golang
Exceptional academic track record from both high school and university
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
Track record of going above-and-beyond expectations to achieve outstanding results
Passion for technology evidenced by personal projects and initiatives
The work ethic and confidence to shine alongside motivated colleagues
Professional written and spoken English with excellent presentation skills
Experience with Linux (Debian or Ubuntu preferred)
Excellent interpersonal skills, curiosity, flexibility, and accountability
Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
Thoughtfulness and self-motivation
Result-oriented, with a personal drive to meet commitments
Ability to travel twice a year, for company events up to two weeks long

Additional Skills That Would Be Nice To Have
The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
Hands-on experience with machine learning libraries, or tools.
Proven track record of building highly automated machine learning solutions for the cloud.
Experience with container technologies (Docker, LXD, Kubernetes, etc.)
Experience with public clouds (AWS, Azure, Google Cloud)
Working knowledge of cloud computing
Passionate about software quality and testing
Experience working on an open source project

What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events

About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.