What Jobs are available for Data Engineers in the United Arab Emirates?

Python Engineer (Big Data) in Dubai: Design scalable backend systems, handle data pipelines, and use Big Data tech. Full-Time, experience required.

Description

Python Engineer (Big Data) in Dubai: Design scalable backend systems using Python, collaborate on data pipelines, and leverage Big Data tech like Hadoop and Spark. Experience required.

Location: Dubai, UAE
Type: Full-Time

Are you passionate about building scalable backend systems that handle vast amounts of data? Do you have a deep understanding of Python engineering and experience working with Big Data technologies? If so, we want to hear from you!

What You'll Do:

1. Design, build, and maintain scalable and robust backend services using Python.
2. Work on data pipelines, transforming large datasets into meaningful insights.
3. Collaborate with data scientists, engineers, and product teams to optimize system performance.
4. Leverage your knowledge in Big Data technologies (e.g., Snowflake, Hadoop, Spark, Kafka) to create data-driven solutions.
5. Ensure smooth data flow and storage across various systems, ensuring high availability and fault tolerance.
6. Continuously improve codebase quality through testing, peer review, and adherence to best practices.

What We're Looking For:

1. Proven experience as a Backend Engineer with a focus on Python.
2. Strong understanding of Big Data architectures and tools (e.g., Hadoop, Spark, Flink, etc.).
3. Experience with data engineering concepts, including ETL pipelines, data warehousing, and real-time streaming.
4. Proficiency in cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
5. Solid experience with relational and non-relational databases (e.g., PostgreSQL, MongoDB, Cassandra).
6. Problem-solving mindset with a strong ability to debug and optimize code.
7. Excellent communication skills and a team player.

Bonus Points:

1. Familiarity with machine learning models and data science workflows.
2. Experience with RESTful API design and microservices architecture.
3. Knowledge of DevOps tools and CI/CD pipelines.

Interested?

Seeking a Python Engineer in Dubai to build scalable backend systems, manage data pipelines, and leverage Big Data technologies like Hadoop and Spark. Requires cloud and database expertise.

Description

Are you passionate about building scalable backend systems that handle vast amounts of data? Do you have a deep understanding of Python engineering and experience working with Big Data technologies? If so, we want to hear from you!

What You'll Do:

1. Design, build, and maintain scalable and robust backend services using Python.
2. Work on data pipelines, transforming large datasets into meaningful insights.
3. Collaborate with data scientists, engineers, and product teams to optimize system performance.
4. Leverage your knowledge in Big Data technologies (e.g., Snowflake, Hadoop, Spark, Kafka) to create data-driven solutions.
5. Ensure smooth data flow and storage across various systems, ensuring high availability and fault tolerance.
6. Continuously improve codebase quality through testing, peer review, and adherence to best practices.

What We're Looking For:

1. Proven experience as a Backend Engineer with a focus on Python.
2. Strong understanding of Big Data architectures and tools (e.g., Hadoop, Spark, Flink, etc.).
3. Experience with data engineering concepts, including ETL pipelines, data warehousing, and real-time streaming.
4. Proficiency in cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
5. Solid experience with relational and non-relational databases (e.g., PostgreSQL, MongoDB, Cassandra).
6. Problem-solving mindset with a strong ability to debug and optimize code.
7. Excellent communication skills and a team player.

Bonus Points:

1. Familiarity with machine learning models and data science workflows.
2. Experience with RESTful API design and microservices architecture.
3. Knowledge of DevOps tools and CI/CD pipelines.

Python Engineer (Big Data) in Dubai: Design scalable backend systems using Python, collaborate on data pipelines, and leverage Big Data tech like Hadoop and Spark. Experience required.

Location: Dubai, UAE

Type: Full-Time

Are you passionate about building scalable backend systems that handle vast amounts of data? Do you have a deep understanding of Python engineering and experience working with Big Data technologies? If so, we want to hear from you!

What You'll Do:

1. Design, build, and maintain scalable and robust backend services using Python.
2. Work on data pipelines, transforming large datasets into meaningful insights.
3. Collaborate with data scientists, engineers, and product teams to optimize system performance.
4. Leverage your knowledge in Big Data technologies (e.g., Snowflake, Hadoop, Spark, Kafka) to create data-driven solutions.
5. Ensure smooth data flow and storage across various systems, ensuring high availability and fault tolerance.
6. Continuously improve codebase quality through testing, peer review, and adherence to best practices.

What We're Looking For:

1. Proven experience as a Backend Engineer with a focus on Python.
2. Strong understanding of Big Data architectures and tools (e.g., Hadoop, Spark, Flink, etc.).
3. Experience with data engineering concepts, including ETL pipelines, data warehousing, and real-time streaming.
4. Proficiency in cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
5. Solid experience with relational and non-relational databases (e.g., PostgreSQL, MongoDB, Cassandra).
6. Problem-solving mindset with a strong ability to debug and optimize code.
7. Excellent communication skills and a team player.

Bonus Points:

1. Familiarity with machine learning models and data science workflows.
2. Experience with RESTful API design and microservices architecture.
3. Knowledge of DevOps tools and CI/CD pipelines.

Interested?

We are looking for an experienced freelance trainer to conduct a 3-day workshop on Big Data Fundamentals for a professional audience in Abu Dhabi. The trainer should be able to deliver engaging, practical, and interactive sessions that combine theory with real-world applications.

This workshop aims to introduce participants to the core principles of big data, its tools, technologies, and how data-driven insights can enhance decision-making and business strategy.

Indicative Learning Areas:

• Understanding big data concepts and architecture
• Overview of data processing frameworks (e.g., Hadoop, Spark)
• Data storage, management, and analytics fundamentals
• Practical applications and case studies in business and technology

The final course content and detailed outline are expected to be provided by the trainer.

• Qualification in Data Science, Computer Science, IT, or related field
• Minimum 5 years of professional or training experience in data analytics or big data technologies
• Strong communication and facilitation skills
• Must be available to deliver the training in person at Yas Island, Abu Dhabi

Interested trainers are invited to apply with the following:

• Updated CV or professional profile
• Relevant training experience
• Proposed hourly rate (inclusive of course content preparation, outline development, and transport costs)

Course Title: Big Data FundamentalsLocation: Eton Abu Dhabi, Yas IslandDates: 3 days workshop

We are looking for an experienced Freelance Trainer to conduct a 3-day workshop on Big Data Fundamentals  for a professional audience in Abu Dhabi. The trainer should be able to deliver engaging, practical, and interactive sessions that combine theory with real-world applications.

This workshop aims to introduce participants to the core principles of big data, its tools, technologies, and how data-driven insights can enhance decision-making and business strategy.

Indicative Learning Areas:

Understanding big data concepts and architecture

Overview of data processing frameworks (e.g., Hadoop, Spark)

Data storage, management, and analytics fundamentals

Practical applications and case studies in business and technology

The final course content and detailed outline are expected to be provided by the trainer.

Qualification in Data Science, Computer Science, IT, or related field

Minimum 5 years of professional or training experience in data analytics or big data technologies

Strong communication and facilitation skills

Must be available to deliver the training in person at Yas Island, Abu Dhabi

Interested trainers are invited to apply with the following:

Updated CV or professional profile

Relevant training experience

Proposed hourly rate (inclusive of course content preparation, outline development, and transport costs)

Job Title: Senior Data Engineer - Big Data/ Hadoop Ecosystem

Job Type: Full-time

Location: On-site Dubai, Dubai, United Arab Emirates

Join our team as a Senior Data Engineer - Big Data/ Hadoop Ecosystem, where you will take the technical lead on pioneering data initiatives within the banking sector. Leveraging your expertise in the Hadoop ecosystem, you will architect, build, and optimize large-scale data systems while mentoring a talented team of data engineers. If you thrive in highly collaborative, asynchronous environments and are passionate about delivering robust data solutions, this role is for you.

• Design, develop, and optimize scalable data processing systems using the Hadoop ecosystem (HDFS, MapReduce, Hive, Pig, HBase, Flume, Sqoop) and other Big Data technologies.
• Lead, mentor, and inspire a team of data engineers, ensuring timely and high-quality project delivery.
• Engineer, tune, and maintain complex data pipelines in Java, MapReduce, Hive, and Spark, including implementing stream-processing with Spark-Streaming.
• Design and build efficient dimensional data models and scalable architectures to empower analytics and business intelligence.
• Oversee data integrity analysis, deployment, validation, and auditing of data models for accuracy and operational excellence.
• Leverage advanced SQL skills for performance tuning and optimization of data jobs.
• Collaborate with business intelligence teams to deliver industry-leading dashboards and data products.

• 10+ years of hands-on experience as a Big Data Engineer, with deep technical expertise in the Hadoop ecosystem (Cloudera preferred), Apache Spark, and distributed data frameworks.
• Proven experience leading backend/distributed data systems teams while remaining technically hands-on.
• Advanced proficiency in Java for MapReduce development, as well as strong skills in Python and/or Scala.
• Expertise in Big Data querying tools including Hive, Pig, and Impala.
• Strong experience with both relational (Postgres) and NoSQL databases (Cassandra, HBase).
• Solid understanding of dimensional data modeling and data warehousing principles.
• Proficient in Linux/Unix systems and shell scripting.

• Experience with Azure cloud services (Azure Data Lake, Databricks, HDInsight).
• Knowledge of stream-processing frameworks such as Spark-Streaming or Storm.
• Background in Financial Services or Banking industry, with exposure to data science and machine learning tools.

Join us to work collaboratively with our talented team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference. You'll deploy and operate ArcGIS Velocity and ArcGIS Workflow Manager SaaS solutions. You will also have the opportunity to design, deploy, and operate next-generation real-time and big data GIS software-as-a-service (SaaS) capabilities for thousands of cloud users worldwide.

Our teams have a broad mix of experience levels and tenures that support an environment that promotes professional development. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Our team also puts a high value on work-life balance, and we understand that striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We offer a flexible hybrid schedule so you can have a more productive and well-balanced life both in and outside of work.

• Collaborate with a team of SRE engineers to operate SaaS capabilities across multiple regions on the cloud platform
• Design, implement, configure, and utilize monitoring systems to monitor the health of SaaS products
• Manage infrastructure used for ArcGIS Velocity and ArcGIS Workflow Manager, respond to alerts, and troubleshoot problems to resolution
• Develop, implement, and maintain automation solutions for repetitive operational tasks, such as deployment pipelines, incident resolution, and scaling processes
• Design and implement the deployment and upgrade containerized micro-service components that, when combined, power Esri’s SaaS offerings
• Create and automate Git workflows to simplify code integration, testing, and infrastructure deployments
• Participate in technical spike efforts, bringing new innovative ideas to future versions of our software
• Troubleshoot the system incidents and provide root cause analysis reports
• Provide rotational on-call technical support

• 5+ years of experience managing Kubernetes (EKS), logging and monitoring (ELK, Prometheus), and container technologies (Docker)
• Proficient in using Terraform for automating infrastructure provisioning and management
• Ability to design and automate Git workflows for streamlined code integration, testing, and infrastructure deployment
• Ability to write scripts to deploy infrastructure and/or applications (Bash, Python, Terraform)
• Expert level understanding and experience with cloud computing platforms (AWS or Microsoft Azure)
• Strong knowledge of Linux Operating system administration, including troubleshooting, performance tuning, and shell scripting
• Proficient in cloud networking, including VPCs, subnets, security groups, and VPNs in platforms like AWS or Azure
• Skilled in identifying and resolving system and application issues through effective troubleshooting and root cause analysis
• Working knowledge of a source control and issue management system
• Bachelor’s in computer science, computer engineering, GIS, or information systems

• Experience designing, administering, and/or maintaining cloud environments, such as AWS or Azure, supporting 24×7 high-availability production environments
• Interest in working with GitOps principles to automate the deployment of applications on Kubernetes clusters
• Certifications: AWS Certified Solution Architect Associate, CKA/CKAD or similar
• Experience managing OpenSearch (datastore or logstore), and Kafka for managing distributed data streams and ensuring high availability in large-scale systems
• Ability to work with continuous integration and delivery best practices
• Knowledge of operating resilient, highly available, scalable, and performance SaaS capabilities
• Knowledge of Esri ArcGIS or other web mapping technologies
• Working knowledge of GitHub

#LI-DR5

#LI-Hybrid

At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here .

If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!

Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

Job Location: India

Number Of Positions: 6

Work Experience: 8-10 years

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Our client in Abu Dhabi is looking for the following:

• 2x Senior ML Engineers / Data Scientists
• 4x Software Engineers

ML & (OR) Data Scientist

• 5+ years of experience in AI, Machine Learning, RL, data science or a related field.
• Familiarity and proven experience in using LLMs/ fine-tuning LLMs.
• Master's or PhD in AI, Data Science, Statistics, Computer Science, or a related field.
• Proficient in programming languages such as Python or R. Candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.
• Strong analytical and statistical modeling skills.
• Experience with machine learning (Generative AI) frameworks (e.g., sci-kit-learn, TensorFlow, PyTorch, Langchain, Weaviate, Langgraph, LlamaIndex).
• Proven track record of applying data science to solve real-world problems.
• Excellent communication and collaboration skills.

Resume/CV*

Full Name*

Email Address*

Phone Number*

By submitting my profile, I agree to the Siri AB’s Privacy and GDPR Policy. I understand that my information will be used in accordance with GDPR regulations.

Property Monitor is the UAE’s leading real estate technology and market intelligence platform, recently acquired by Dubizzle Group. At Property Monitor, we empower developers, brokers, investors, and property professionals with authoritative data and powerful analytics, enabling them to make faster, smarter, and more informed decisions.

As part of Dubizzle Group, we are alongside five powerhouse brands - including market-leading platforms like Bayut and dubizzle trusted by over 123 million monthly users. Together, these brands shape how people buy, sell, and connect across real estate, classifieds, and services in the UAE and broader region.

The Data Engineer will help deliver world-class big data solutions and drive impact for the dubizzle business. You will be responsible for exciting projects covering the end-to-end data life cycle – from raw data integrations with primary and third-party systems, through advanced data modeling, to state-of-the-art data visualization and development of innovative data products.

You will have the opportunity to build and work with both batch and real-time data processing pipelines. While working in a modern cloud-based data warehousing environment alongside a team of diverse, intense and interesting co-workers, you will liaise with other teams– such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.

In this role, you will:

• Raw data integrations with primary and third-party systems
• Data warehouse modelling for operational and application data layers
• Development in Amazon Redshift cluster
• SQL development as part of agile team workflow
• ETL design and implementation in Matillion ETL
• Real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, API Gateway, etc.
• Design and implementation of data products enabling data-driven features or business solutions
• Data quality, system stability and security
• Coding standards in SQL, Python, ETL design
• Building data dashboards and advanced visualisations in Periscope Data with a focus on UX, simplicity and usability
• Working with other departments on data products – i.e. product & technology, marketing & growth, finance, core business, advertising and others
• Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
• Be able to work autonomously without supervision on complex projects
• Participate in the early morning ETL status check rota

Requirements:

• Top of class technical degree such as computer science, engineering, math, physics.
• 3+ years of experience working with customer-centric data at big data-scale, preferably in an online / e-commerce context
• 2+ years of experience with one or more programming languages, especially Python
• Strong track record in business intelligence solutions, building and scaling data warehouses and data modelling
• Experience with modern big data ETL tools is a plus (e.g. Matillion)
• Experience with AWS data ecosystem (or other cloud providers)
• Experience with modern data visualization platforms such as Sisense (formerly Periscope Data), Google Data Studio, Tableau, MS Power BI etc.
• Knowledge of modern real-time data pipelines is a strong plus (e.g. server less framework, lambda, kinesis, etc.)
• Knowledge or relational relational and dimensional data models
• Knowledge of terminal operations and Linux workflows
• World-class SQL skills across a variety of relational data warehousing technologies especially in cloud data warehousing (e.g. Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
• Ability to communicate insights and findings to a non-technical audience

What We Offer:

• A fast paced, high performing team.
• Multicultural environment with over 50 different nationalities
• Competitive Tax-free Salary
• Comprehensive Health Insurance
• Annual Air Ticket Allowance
• Employee discounts at multiple vendors across the emirates
• Rewards & Recognitions
• Learning & Development

Dubizzle Group is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.