data engineer

Dubai Holding

<div>
 
 Established in 2004, Dubai Holding is a global investment company with investments in more than 34 countries and a combined workforce of nearly 45,000 individuals. In line with the vision of Dubai&rsquo;s leadership and economic diversification strategy, Dubai Holding companies have nurtured sectors, irrevocably transforming Dubai&rsquo;s socio-economic landscape and positioning Dubai as a diversified, globally integrated economy.
 
 
 
 
 
 Dubai Holding is committed to the diversification of Dubai&rsquo;s non-oil economy. Our portfolio, valued at over AED 280+ billion, spans 10 sectors, including real estate, hospitality, leisure &amp; entertainment, ICT, design, education, media, retail, manufacturing &amp; logistics, and science.
 
 
 
 
 
 
 For the Good of Tomorrow
 
 
 
 Dubai Holding is looking to hire a
 
 Data Engineer
 
 . The role is responsible for leading the design, development, and maintenance of data solutions that support product teams in leveraging data for their specific needs. This role involves building and managing data pipelines, data lakes, and data warehouses, ensuring high-quality data delivery, and fostering a culture of process and data quality within development teams while being compliant with data protection/ privacy regulations and policies.
 
 
 
 
 
 If you are ready to embark on a dynamic journey where your talents are valued, and your contributions make a real impact, we would like to hear from you.
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 Data Infrastructure &amp; Pipeline Development
 
 
 <ul>
 <li>
 Design, build, and maintain data pipelines, lakes, and warehouses.
 </li>
 <li>
 Develop ETL jobs and stored procedures/functions/packages.
 </li>
 <li>
 Ensure robust data storage and high-quality data delivery.
 </li>
 </ul>
 
 
 Technical Guidance &amp; Integration
 
 
 <ul>
 <li>
 Own and implement ETL operating standards.
 </li>
 <li>
 Provide guidance on infrastructure for analytics and AI use cases.
 </li>
 <li>
 Collaborate with backend developers and IT architecture teams for seamless integration.
 </li>
 </ul>
 
 
 Product &amp; Stakeholder Collaboration
 
 
 <ul>
 <li>
 Work with Product Owners to understand and meet data needs.
 </li>
 <li>
 Translate product requirements into engineering plans and roadmaps.
 </li>
 <li>
 Gather stakeholder requirements and build architectures aligned with business goals.
 </li>
 </ul>
 
 
 Quality &amp; Process Excellence
 
 
 <ul>
 <li>
 Promote a culture of process and data quality.
 </li>
 <li>
 Implement best practices for data management and quality assurance.
 </li>
 <li>
 Support bug fixing and performance optimization.
 </li>
 </ul>
 
 
 Agile Delivery &amp; Team Collaboration
 
 
 <ul>
 <li>
 Advocate for agile methodologies and iterative development
 </li>
 <li>
 Collaborate cross-functionally to deliver project outcomes.
 </li>
 </ul>
 
 
 
 
 
 Who we are looking for:
 
 
 <ul>
 <li>
 At least 3-6 years of experience in Data Engineering roles
 </li>
 <li>
 Bachelor&rsquo;s Degree in a quantitative field (Mathematics, Engineering, Statistics, Science, Data Science/ AI); Advanced degrees preferred.
 </li>
 <li>
 Experience in Big Data platform like Databricks, Spark, Hive, Palantir Foundry etc.
 </li>
 <li>
 Experience in implementing AI solutions including OCR, Large Language Models, etc.
 </li>
 <li>
 Experienced with data modelling, design patterns, building highly scalable and secured analytical solutions.
 </li>
 <li>
 Proficiency in Python, SQL, PL/SQL, Spark and similar languages
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Experience working in a tech/ product environment is a plus
 </li>
 </ul>
 
 
 
 
 
 Behavioural Competencies
 
 
 <ul>
 <li>
 High-energy, ownership-driven mindset
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Excellent communication and collaboration abilities
 </li>
 <li>
 Comfortable navigating ambiguity and driving clarity
 </li>
 <li>
 Experience in agile/start-up environments preferred
 </li>
 <li>
 Successful track record of leading complex projects is a plus
 </li>
 </ul>
 
 
 
 
 
 As much as we would be delighted to entertain all applicants, due to the high volumes of applications, only successful applicants will be contacted within 14 business days.
 
 
 
 
 
 
 
 This job description is not all inclusive. Dubai Holding reserves the right to amend this job description at any time. Dubai Holding is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.
 
 
</div>

Data Engineer

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region. 
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily. 
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
About the Role
We&rsquo;re looking for a Data Engineer who&rsquo;s passionate about building reliable, scalable, and cost-efficient data systems. You&rsquo;ll work with a modern stack, Kafka, Google Cloud Platform (GCP), AWS, to design and maintain the pipelines that power analytics, machine learning, and product insights.
Ideal role for someone with solid foundational skills in data engineering who&rsquo;s ready to deepen their expertise, take ownership of workflows, and collaborate across teams.
If you don&rsquo;t know every tool in our stack yet, that&rsquo;s okay. We value curiosity, problem-solving, and a willingness to learn just as much as existing technical skills.
What's On Your Plate?<ul><li>
Design, build, and maintain data pipelines and workflows for batch and streaming use cases.</li><li>
Work with Kafka to manage real-time data ingestion and event-driven architectures.</li><li>
Leverage GCP and AWS services for storage, processing, and orchestration (e.g., BigQuery, Dataflow, S3, Lambda).</li><li>
Orchestrate workflows using tools like Airflow or similar schedulers.</li><li>
Ensure data quality and reliability through monitoring, alerting, and automated validation.</li><li>
Collaborate with analysts, data scientists, and product teams to understand requirements and deliver data solutions that drive business impact.</li><li>
Optimize for cost and performance across cloud environments.</li><li>
Participate in code reviews, documentation, and knowledge sharing to raise the bar for the team.</li></ul> 

Our Tech Stack<ul><li>
Data Ingestion &amp; Streaming: Apache Kafka, Kafka Connect</li><li>
Cloud Platforms: Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage), AWS (S3, Lambda, Glue)</li><li>
Workflow Orchestration: Apache Airflow</li><li>
Programming Languages: Python, SQL, (bonus: Java/Scala)</li><li>
Infrastructure &amp; DevOps: Terraform, CI/CD pipelines, Docker</li><li>
Monitoring &amp; Observability: Grafana, Prometheus, Cloud-native tools</li></ul> 
Qualifications 
What Did We Order?
What We&rsquo;re Looking For<ul><li>
Experience (1-3 years) in data engineering, software engineering, or a related field.</li><li>
Proficiency in SQL and at least one programming language (Python preferred).</li><li>
Understanding of data modeling, ETL/ELT concepts, and cloud-based data warehouses.</li><li>
Familiarity with streaming platforms (Kafka, Kinesis, or similar).</li><li>
Comfort working in cloud environments (GCP, AWS, or Azure).</li><li>
Strong communication skills, able to explain technical concepts to non-technical audiences.</li><li>
Growth mindset, eager to learn, adapt, and take on new challenges. 
</li></ul>Nice-to-Have (But Not Required and willing to learn)<ul><li>
Experience with infrastructure-as-code (Terraform, CloudFormation).</li><li>
Exposure to containerization (Docker, Kubernetes).</li><li>
Knowledge of data governance, security, and compliance best practices.</li></ul> 
Additional Information 
Why You&rsquo;ll Love Working Here<ul><li>
Impact: Your work will directly influence how data powers decisions across the company.</li><li>
Learning culture: We invest in your growth &mdash; from mentorship to training budgets.</li><li>
Modern stack: Work with cutting-edge tools and cloud platforms.</li><li>
Collaboration: Partner with talented engineers, analysts, and product managers.</li><li>
Flexibility: We care about outcomes, not where you work from.</li></ul>
Our Hiring Philosophy
We know that a great data engineer isn&rsquo;t defined by checking every box. If you&rsquo;re excited about data engineering, have a solid foundation, and are eager to grow, we want to hear from you.</div>

Data Engineer II

MultiBank Group

<div>Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US $35 billion. As a heavily regulated institution with oversight from 17+ financial regulators across 5 continents, and recipient of over 70 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
We are seeking an experienced AI Data Engineer to design, develop, and deploy innovative data and machine learning solutions that drive customer engagement, retention, and lifetime value (LTV). This role will focus on building scalable data pipelines, predictive models, and GenAI-powered applications that enable more personalised trading experiences and support data-driven decision-making across the business.
Key Responsibilities<ul><li>
Collaborate with the wider marketing department to build meaningful datasets and a centralised data warehouse that will be used for reporting across numerous teams, focused on customer retention and LTV.</li><li>
Develop and own machine learning solutions that specialise in customer personalisation to increase engagement and coordinate with marketing teams towards their strategy and execution across multiple channels, especially around predictive modelling, churn prediction and customer segmentation.</li><li>
Explore the capabilities of Gen AI to develop new apps for our traders that make trading easier and more personalised based on their preferences.</li><li>
Maintain a commercial acumen and find opportunities where technology can be used to increase customer engagement or automate internal tasks.</li></ul>
Qualifications &amp; Requirements<ul><li>
Strong expertise in SQL, comfortable with raw data and multiple high-volume datasets such as customer journey, marketing performance or product behaviour.</li><li>
Comfortable creating pipelines and automations with Python to connect multiple endpoints and APIs such as first party databases, marketing platforms or other data collection platforms.</li><li>
Expertise in using Python todeploy machine learning solutions end to end, especially around predictive modelling and customer segmentation.</li><li>
Previous experience in finding customer insights through data analysis, communicating it to different stakeholders and strategizing on how to increase customer engagement and LTV.</li><li>
Capable of creating applications using LLMs that summarise high volumes of data and knowledge of the latest Gen AI use cases.</li><li>
Previous exposure to ETL tools (e.g., dbt, AWS Glue) and cloud environments (preferably AWS, SageMaker).</li><li>
Strong communication skills with the ability to present complex data insights to non-technical stakeholders and support business strategy.</li></ul>
Why Join Us?<ul><li>
Work with an industry-leading global financial institution.</li><li>
Competitive salary and comprehensive employee benefits.</li><li>
Opportunities for professional growth and career advancement.</li><li>
Collaborative, inclusive, and dynamic work environment.</li><li>
Commitment to innovation and professional excellence.</li></ul>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group combines prime liquidity, cutting-edge technology, and first-class service to deliver advanced trading platforms to clients worldwide.
Our mission is to provide exceptional products and services to our clients &mdash; and we continue to invest heavily in technology and regulation to benefit our customers and the financial industry as a whole.
As the most heavily regulated financial derivatives group, MultiBank Group maintains an unblemished regulatory record with all its regulators.
Positions available across our 25+ global offices &mdash; Dubai, Hong Kong, Singapore, London, Sydney, and more. Learn more: www.multibankgroup.com
MultiBank Group is an equal opportunity employer committed to diversity and inclusion. By submitting your application, you agree that your personal data will be processed in accordance with our Privacy Policy.</div>

AI Data Engineer

GSSTech Group

<div>We are looking for a skilled Data Engineer with strong expertise in PySpark and Data Modeling to join our Data &amp; Analytics team. The ideal candidate will be responsible for building scalable data pipelines, optimizing data workflows, and supporting advanced analytics initiatives.
Key Responsibilities<ul><li>
Design, develop, and maintain scalable data pipelines using PySpark</li><li>
Perform data modeling (conceptual, logical, and physical) for analytics and reporting</li><li>
Build and optimize ETL/ELT workflows for large-scale datasets</li><li>
Work with structured and unstructured data across multiple sources</li><li>
Ensure data quality, integrity, and governance standards</li><li>
Collaborate with data analysts, scientists, and business stakeholders</li><li>
Optimize performance of Spark jobs and data processing systems</li><li>
Support deployment and monitoring of data solutions in production</li></ul>
Required Skills &amp; Qualifications<ul><li>
Strong experience in PySpark and Apache Spark ecosystem</li><li>
Hands-on experience in data modeling (Star Schema, Snowflake, etc.)</li><li>
Proficiency in SQL and database technologies</li><li>
Experience with data warehousing concepts</li><li>
Knowledge of ETL/ELT tools and frameworks</li><li>
Familiarity with cloud platforms (AWS / Azure / GCP) is a plus</li><li>
Understanding of big data technologies (Hadoop, Hive, Kafka, etc.)</li><li>
Strong problem-solving and analytical skills</li></ul>
Preferred Qualifications<ul><li>
Experience in banking/financial services domain</li><li>
Exposure to data governance and data quality frameworks</li><li>
Knowledge of CI/CD pipelines and DevOps practices</li></ul></div>

Data Engineer (PySpark & Data Modeling)

BlackStone eIT

<div>BlackStone eIT is looking for a skilled Data Platform Engineer to join our dynamic team. You will be responsible for designing, building, and maintaining scalable data platforms that support the company&rsquo;s data processing and analytics needs.
In this role, you will collaborate with data engineers, analysts, and other stakeholders to develop efficient data pipelines, ensure data quality, and contribute to the overall data infrastructure architecture. This is a fantastic opportunity to advance your career by working with cutting-edge technologies and helping shape BlackStone eIT&rsquo;s data capabilities.
Key Responsibilities
Required Skills &amp; Technologies<ul><li>Python &mdash; async data pipelines, background jobs, scripting</li><li>PostgreSQL &mdash; schema design, migrations (Alembic), query optimization</li><li>Azure Data Lake Storage + Synapse Analytics</li><li>dbt &mdash; transformation, testing, documentation</li><li>Apache Airflow or Azure Data Factory</li><li>Data quality frameworks (Great Expectations, dbt tests, or custom)</li><li>Observability &mdash; structured logging, alerting, Azure Monitor or Prometheus/Grafana</li><li>Microsoft Graph API &mdash; SharePoint, M365 data extraction</li><li>Redis &mdash; queue management, caching</li><li>Docker &mdash; containerized pipeline jobs</li><li>SQL &mdash; advanced analytical queries, window functions, performance tuning</li></ul><ul><li>
Develop and maintain data pipelines for ingestion, processing, and storage of large datasets</li><li>
Implement ETL/ELT processes to transform raw data into usable formats</li><li>
Collaborate with cross-functional teams to understand data requirements and deliver solutions</li><li>
Ensure data quality, consistency, and reliability across platforms</li><li>
Optimize database performance and monitor platform health</li><li>
Assist in the design and implementation of data governance and security measures</li><li>
Document data infrastructure and processes for operational clarity</li></ul> 

Requirements 
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field</li>
<li>3+ years of experience in data engineering or data platform development</li>
<li>Proficiency in SQL and experience with relational databases like PostgreSQL or MySQL</li>
<li>Familiarity with data pipeline and ETL tools such as Apache Airflow, Azure Data Factory, or similar</li>
<li>Experience with cloud platforms (AWS, Azure, or Google Cloud)</li>
<li>Knowledge of Python or another programming/scripting language for data processing</li>
<li>Understanding of data security, governance, and quality best practices</li>
<li>Strong analytical and problem-solving skills</li>
<li>Good communication skills and ability to work effectively in a team environment</li> 
</ul> 
 
Benefits 
<ul>
<li>Paid Time Off</li>
<li>Performance Bonus</li>
<li>Training &amp; Development</li></ul></div>

Data Platform Engineer

Electronics Corporation of India

Location: UAE Industry: Road Assets Management and Pavement Evaluation Experience Required: 2&ndash;4 YearsJob OverviewWe are seeking a detail-oriented Data Collection Engineer to support large-scale pavement evaluation and road asset management projects. The selected candidate will be primarily responsible for field-based data acquisition using advanced automated pavement survey systems, ensuring accuracy, calibration compliance, and adherence to QA/QC standards.This role requires strong technical coordination, field management capability, and familiarity with automated infrastructure survey technologies.Key Responsibilities<ul><li>Conduct pavement and road asset data collection using automated survey systems</li><li>Perform equipment calibration, system checks, and validation before mobilization.</li><li>Plan survey routes, prepare KML files, and define survey ID structures.</li><li>Maintain daily survey logs, checklists, and progress tracking sheets.</li><li>Ensure strict compliance with QA/QC protocols during field operations.</li><li>Coordinate with traffic authorities and project teams for smooth data collection execution.</li><li>Ensure secure handling and transfer of collected datasets to processing teams.</li><li>Monitor field safety and ensure operational compliance with project standards.</li></ul>Technical Skills Required<ul><li>Understanding of pavement engineering fundamentals.</li><li>Experience with automated pavement data collection technologies.</li><li>Knowledge of survey planning and route optimization.</li><li>Familiarity with QA/QC documentation procedures.</li><li>Basic GIS knowledge (KML, coordinate systems, mapping tools).</li><li>Proficiency in MS Office and engineering documentation tools.</li></ul>Preferred Qualifications<ul><li>Bachelor&rsquo;s degree in civil engineering.</li><li>Experience in road projects or pavement condition surveys.</li></ul>Job Types: Full-time, Permanent, FresherPay: From AED3,000.00 per monthWork Location: In person

Data Collection Engineer

Revolut

<div>
 
 
 About Revolut
 
 
 
 
 
 
 People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 70+ million customers get more from their money every day.
 
 
 
 
 
 As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
 
 
 
 
 
 
 About the role
 
 
 
 
 
 
 Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.
 
 
 
 
 
 We&rsquo;re looking for a Data Analyst who can dig into our complex databases, look for the root cause of a problem, and design their own solutions by writing codes to implement them.
 
 
 
 
 
 Up to shape what's next in finance? Let's get in touch.
 
 
 
 
 
 
 What you'll be doing
 
 
 
 
 
 <ul>
 <li>
 Building and maintaining trusted datasets for reporting and analytics, working across multiple source systems and owners
 </li>
 <li>
 Supporting database sharding and data residency programme
 </li>
 <li>
 Validating data accuracy between source systems and replicated datasets, and investigating discrepancies
 </li>
 <li>
 Owning the delivery around requirements, data mapping, transformation logic, scheduling, monitoring, and fixes
 </li>
 <li>
 Defining, implementing, and documenting business metrics with clear lineage so reporting is consistent and audit-ready
 </li>
 <li>
 Creating and maintaining new aggregated views and tables to simplify data querying
 </li>
 <li>
 Coordinating across Product Engineering, DevOps/SRE, and Data to unblock ETL delivery, manage dependencies, and ensure pipelines meet reliability and data quality expectations
 </li>
 <li>
 Maintaining documentation and governance, such as dataset specs, metric definitions, lineage, access classification, and change notes
 </li>
 <li>
 Partnering with stakeholders to turn questions into data products that are audit-ready and scalable
 </li>
 </ul>
 
 
 
 
 
 What you'll need
 
 
 
 
 
 <ul>
 <li>
 5+ years of experience in an analytical role, creating impactful data-driven solutions
 </li>
 <li>
 A solid background/education in a quantitative discipline
 </li>
 <li>
 Great skills with Python, SQL, or other programming languages
 </li>
 <li>
 Experience with financial services datasets (payments, ledger, reconciliations, fraud/risk, regulatory reporting).
 </li>
 <li>
 Demonstrated experience implementing data quality controls and reconciliation checks for replicated or high-stakes datasets
 </li>
 <li>
 Evidence of exceptional mathematical and statistics knowledge
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 
 
 
 <ul>
 <li>
 An advanced degree in a core STEM subject
 </li>
 <li>
 Knowledge of data governance practices (sensitivity classification, access controls, ownership models)
 </li>
 <li>
 Familiarity with orchestration and transformation tooling (Airflow or similar)
 </li>
 <li>
 Experience building dashboards in Looker
 </li>
 </ul>
 
 
 
 
 
 Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
 
 
 
 
 
 
 
 
 Important notice for candidates:
 
 
 
 
 
 Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.
 
 
 
 
 &bull;
 
 
 
 Only apply through official Revolut channels.
 
 
 
 We don&rsquo;t use any third-party services or platforms for our recruitment.
 
 
 
 
 &bull;
 
 
 
 Always double-check the emails you receive.
 
 
 
 Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.
 
 
 
 
 
 We won't ask for payment or personal financial information during the hiring process.
 
 
 
 If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
 
 
 
 
 
 
 
 By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice
 
 
 
 
</div>

Data Analyst (Engineer)

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