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data engineer

Deeplight AI

<div>
 DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
 
 
 The Data Engineer is responsible for designing, implementing, and optimising data pipelines and infrastructure to support our cutting-edge AI systems. The Data Engineer collaborates closely with our multidisciplinary team to ensure the efficient collection, storage, processing, and analysis of large-scale data, enabling us to unlock valuable insights and drive innovation across various domains.
 
 
 
 Responsibilities of the role:
 
 
 
 <ul>
 <li>
 Design, build, and optimise scalable data solutions, primarily utilising the Lakehouse architecture to unify data warehousing and data lake capabilities. Advise stakeholders on the strategic choice between Data Warehouse, Data Lake, and Lakehouse architectures based on specific business needs, cost, and latency requirements.
 </li>
 <li>
 Design, develop, and maintain scalable and reliable data pipelines to ingest, transform, and load diverse datasets from various sources, including structured and unstructured data, streaming data, and real-time feeds.
 </li>
 <li>
 Implement standards and tooling to ensure ACID properties, schema evolution, and high data quality within the Lakehouse environment. Implement robust data governance frameworks (security, privacy, integrity, compliance, auditing).
 </li>
 <li>
 Continuously optimize data storage, compute resources, and query performance across the data platform to reduce costs and improve latency for both BI and ML workloads, leveraging techniques such as indexing, partitioning, and parallel processing.
 </li>
 <li>
 Develop and maintain CI/CD pipelines to automate the entire machine learning lifecycle, from data validation and model training to deployment and infrastructure provisioning.
 </li>
 <li>
 Deploy, manage, and scale machine learning models into production environments, utilizing MLOps principles for reliable and repeatable operations.
 </li>
 <li>
 Establish and manage monitoring systems to track model performance metrics, detect data drift (changes in input data), and model decay (degradation in prediction accuracy).
 </li>
 <li>
 Ensure rigorous version control and tracking for all components: code, datasets, and trained model artifacts (using tools like MLflow or similar).
 </li>
 <li>
 Create comprehensive documentation, including technical specifications, data flow diagrams, and operational procedures, to facilitate understanding, collaboration, and knowledge sharing
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Proven practical experience in designing, building, and optimising solutions using Data Lakehouse architectures (e.g., Databricks, Delta Lake).
 </li>
 <li>
 Strong hands-on experience with managing data ingestion, schema enforcement, ACID properties, and utilizing big data technologies/frameworks like Spark and Kafka.
 </li>
 <li>
 Expertise in data modeling, ETL/ELT processes, and data warehousing concepts. Proficiency in SQL and scripting languages (e.g., Python, Scala).
 </li>
 <li>
 Demonstrated practical experience implementing MLOps pipelines for production systems. This includes a solid understanding and implementation experience with MLOps principles: automation, governance, and monitoring of ML models throughout the entire lifecycle.
 </li>
 <li>
 Experience with CI/CD tools, containerization/orchestration technologies (e.g., Docker, Kubernetes), model serving frameworks (e.g., TensorFlow Serving, Sagemaker), and experiment tracking (e.g., MLflow).
 </li>
 <li>
 Experience with production monitoring tools to detect data drift or model decay.
 </li>
 <li>
 Strong hands-on experience with major cloud platforms (e.g., AWS, Azure, GCP) and familiarity with DevOps practices.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts into clear and actionable insights.
 </li>
 <li>
 Proven ability to work effectively in a fast-paced, collaborative environment, with a passion for innovation and continuous learning
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Benefits &amp; Growth Opportunities:
 
 
 
 <ul>
 <li>
 Competitive salary and performance bonuses
 </li>
 <li>
 Comprehensive health insurance
 </li>
 <li>
 Professional development and certification support
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects
 </li>
 <li>
 Flexible working arrangements
 </li>
 <li>
 Career advancement opportunities in a rapidly growing AI company
 
 
 </li>
 </ul>
 This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
</div>

Data Engineer

Anotech

<div>
 
 
 Data Engineer
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Manage master data and user access (including RLS) in Power BI.
 </li>
 <li>
 Develop, optimize, and troubleshoot Power BI reports and dashboards.
 </li>
 <li>
 Build and maintain ETL pipelines (Talend) and ensure data quality.
 </li>
 <li>
 Integrate APIs for automated data flows.
 </li>
 <li>
 Support data governance, testing, and platform upgrades.
 </li>
 <li>
 Analyze issues across data systems and ensure reliable reporting.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Strong expertise in
 
 Power BI
 
 (DAX, Power Query, data modeling).
 </li>
 <li>
 Experience in
 
 ETL
 
 , SQL, data warehousing, and data modeling.
 </li>
 <li>
 Familiar with APIs, data governance, and performance optimization.
 </li>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s in Computer Science or related field.
 </li>
 <li>
 Power Apps / Power Automate experience is a plus.
 </li>
 </ul>
 
 
 Preferred
 
 
 
 
 
 <ul>
 <li>
 Experience with large datasets and relational DBs.
 </li>
 <li>
 Strong analytical and communication skills.
 </li>
 <li>
 Ability to work autonomously, collaborate effectively, and adapt to change.
 </li>
 </ul>
 
 
</div>

zoondia software

Location: Dubai Experience: 3-6 YearsAbout the Role:We are looking for a skilled Data Engineer to join our team in Dubai. You will work with cross-functional teams to manage data systems, build robust data pipelines, and support analytics and reporting solutions using Power BI and Talend. The ideal candidate has strong technical expertise, a data-oriented mindset, and experience handling diverse data sources and integration challenges.Roles &amp; Responsibilities<ul><li>Manage master data, including creation, updates, and deletion within Power BI.</li><li>Administer user access and roles, including Row-Level Security configurations.</li><li>Handle and process confidential data in accordance with internal guidelines.</li><li>Develop reports, analyses, and visualizations in collaboration with various departments using Power BI.</li><li>Maintain, optimize, and troubleshoot existing Power BI dashboards.</li><li>Configure and connect APIs to support data automation and integration.</li><li>Support initiatives focused on data quality, integrity, and standardization.</li><li>Conduct testing, implement new or upgraded software solutions, and assist in strategic decisions related to data systems.</li><li>Generate reports from single or multiple source systems.</li><li>Diagnose and resolve issues within the reporting environment and datasets.</li><li>Assess the impact of changes or updates to source production systems.</li><li>Apply technical expertise in data storage structures, data mining, and data cleansing.</li><li>Contribute to the development of low-code applications (Power Apps) aligned with business needs.</li><li>Design and maintain scalable ETL pipelines with Talend to ingest, transform, and load data from diverse sources into a structured data warehouse (star/snowflake schemas).</li><li>Optimize Talend workflows with data quality checks, error handling, and performance tuning to ensure reliable, well-modeled datasets for analytics and reporting.</li></ul>Qualification<ul><li>Expertise in Power BI (Power Query, DAX, data modeling, Power BI Service, Row-Level Security).</li><li>Strong understanding of data modeling principles.</li><li>Experience connecting and integrating APIs with Power BI.</li><li>Proficiency in ETL processes and data preparation.</li><li>Knowledge of SQL (querying, joins, transformations).</li><li>Familiarity with data warehousing and relational database concepts.</li><li>ETL Development &amp; Data Integration.</li><li>Data Modeling (Star/Snowflake Schemas).</li><li>Experience with Power Automate and/or Power Apps (nice to have).</li><li>Understanding of data governance, data quality, and normalization concepts.</li><li>Ability to troubleshoot data refresh issues, gateway configurations, and performance bottlenecks.</li><li>Experience working with multiple data sources (Excel, databases, cloud services, APIs, etc.).</li><li>Educational: Bachelor&rsquo;s/Master&rsquo;s degree from an accredited university or college in a computer science&ndash;related program.</li></ul>Preferred Skills<ul><li>Work experience as a data analyst or in a related field.</li><li>Ability to analyze existing tools and databases and provide software solution recommendations.</li><li>Demonstrated experience in handling large data sets and relational databases.</li><li>High-level written and verbal communication skills.</li><li>Teamwork and willingness to perform through cooperation.</li><li>Strong attention to detail.</li><li>Willingness to embrace change and solve problems.</li><li>Passion for digital transformation.</li><li>Strong analytical mindset; data-oriented.</li><li>Familiarity with low-code applications is a plus.</li><li>Knowledge or experience with NDA and data sensitivity.</li><li>Ability to communicate with English-speaking and multicultural stakeholders.</li><li>Familiar with supporting processes.</li><li>Comfortable working autonomously and taking initiatives.</li></ul>How to ApplySend your resume to soumya@zoondia.inJob Type: Full-time

zoondia

<div><h3 class="jobSectionHeader">ROLES &amp; RESPONSIBILITIES</h3>
<ul><li>Manage master data, including creation, updates, and deletion within Power BI.</li>
<li>Administer user access and roles, including Row-Level Security configurations.</li>
<li>Handle and process confidential data in accordance with internal guidelines.</li>
<li>Develop reports, analyses, and visualizations in collaboration with various departments using Power BI.</li>
<li>Maintain, optimize, and troubleshoot existing Power BI dashboards.</li>
<li>Configure and connect APIs to support data automation and integration.</li>
<li>Support initiatives focused on data quality, integrity, and standardization.</li>
<li>Conduct testing, implement new or upgraded software solutions, and assist in strategic decisions related to data systems.</li>
<li>Generate reports from single or multiple source systems.</li>
<li>Diagnose and resolve issues within the reporting environment and datasets.</li>
<li>Assess the impact of changes or updates to source production systems.</li>
<li>Apply technical expertise in data storage structures, data mining, and data cleansing.</li>
<li>Contribute to the development of low-code applications (Power Apps) aligned with business needs.</li>
<li>Design and maintain scalable ETL pipelines with Talend to ingest, transform, and load data from diverse sources into a structured data warehouse (star/snowflake schemas).</li>
<li>Optimize Talend workflows with data quality checks, error handling, and performance tuning to ensure reliable, well-modeled datasets for analytics and reporting.</li>
</ul><h3 class="jobSectionHeader">QUALIFICATION</h3>
<ul><li>Expertise in Power BI (Power Query, DAX, data modeling, Power BI Service, Row-Level Security).</li>
<li>Strong understanding of data modeling principles.</li>
<li>Experience connecting and integrating APIs with Power BI.</li>
<li>Proficiency in ETL processes and data preparation.</li>
<li>Knowledge of SQL (querying, joins, transformations).</li>
<li>Familiarity with data warehousing and relational database concepts.</li>
<li>ETL Development &amp; Data Integration.</li>
<li>Data Modeling (Star/Snowflake Schemas).</li>
<li>Experience with Power Automate and/or Power Apps (nice to have).</li>
<li>Understanding of data governance, data quality, and normalization concepts.</li>
<li>Ability to troubleshoot data refresh issues, gateway configurations, and performance bottlenecks.</li>
<li>Experience working with multiple data sources (Excel, databases, cloud services, APIs, etc.).</li>
<li>Educational: Bachelor&rsquo;s/Master&rsquo;s degree from an accredited university or college in a computer science&ndash;related program.</li>
</ul><h3 class="jobSectionHeader">PREFERRED SKILLS</h3>
<ul><li>Work experience as a data analyst or in a related field.</li>
<li>Ability to analyze existing tools and databases and provide software solution recommendations.</li>
<li>Demonstrated experience in handling large data sets and relational databases.</li>
<li>High-level written and verbal communication skills.</li>
<li>Teamwork and willingness to perform through cooperation.</li>
<li>Strong attention to detail.</li>
<li>Willingness to embrace change and solve problems.</li>
<li>Passion for digital transformation.</li>
<li>Strong analytical mindset; data-oriented.</li>
<li>Familiarity with low-code applications is a plus.</li>
<li>Knowledge or experience with NDA and data sensitivity.</li>
<li>Ability to communicate with English-speaking and multicultural stakeholders.</li>
<li>Familiar with supporting processes.</li>
<li>Comfortable working autonomously and taking initiatives.</li>
</ul>
Experience : 3-6 years</div>

dubizzle

<div>
 
 Bayut &amp; dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience.
 
 
 As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market. With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs.
 
 
 The Data Engineer intern will be participating in exciting projects covering the end-to-end data lifecycle - from raw data integrations with primary and third-party systems, through advanced data modelling, to state-of-the-art data visualisation and development of innovative data products.
 
 
 You will have the opportunity to learn how to build and work with both batch and real-time data processing pipelines. You will work in a modern cloud-based data warehousing environment alongside a team of diverse, intense and interesting co-workers. You will liaise with other departments - such as product &amp; tech, the core business verticals, trust &amp; safety, finance and others - to enable them to be successful.
 
 
 
 
 In this role, you will handle:
 
 
 <ul>
 <li>
 Raw data integrations with primary and third-party systems
 </li>
 <li>
 Data warehouse modelling for operational and application data layers
 </li>
 <li>
 Development in Amazon Redshift cluster
 </li>
 <li>
 SQL development as part of agile team workflow
 </li>
 <li>
 ETL design and implementation in Matillion ETL
 </li>
 <li>
 Design and implementation of data products enabling data-driven features or business solutions
 </li>
 <li>
 Data quality, system stability and security
 </li>
 <li>
 Coding standards in SQL, Python, ETL design
 </li>
 <li>
 Data dashboards and advanced visualisations in Periscope Data with a focus on UX, simplicity and usability
 </li>
 <li>
 Working with other departments on data products - i.e. product &amp; technology, marketing &amp; growth, finance, core business, advertising and others
 </li>
 <li>
 Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, engineering, math, physics or any related quantitative field
 </li>
 </ul>
 <ul>
 <li>
 Knowledge of relational and dimensional data models
 </li>
 <li>
 Knowledge of terminal operations and Linux workflows
 </li>
 <li>
 Ability to communicate insights and findings to a non-technical audience
 </li>
 <li>
 Good SQL skills across a variety of relational data warehousing technologies especially in cloud data warehousing (e.g. Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
 </li>
 <li>
 Attention to details and analytical thinking
 </li>
 <li>
 Entrepreneurial spirit and ability to think creatively; highly-driven and self-motivated; strong curiosity and strive for continuous learning
 </li>
 
 
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Ability to contribute to a platform used by more than 5M users in UAE and other platforms in the region
 </li>
 <li>
 Strengthen your resume and build your network
 </li>
 <li>
 Opportunity to find a full time career with the region's leading organization
 </li>
 <li>
 Working in a multicultural environment with over 60 different nationalities
 </li>
 <li>
 Access to the Learning &amp; Development tools and courses provided by the company
 </li>
 </ul>
 
 Bayut &amp; dubizzle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 
 
 #UAEdubizzle
 
</div>

Data Engineer - Intern

Keyrock

<div>Job title: Rust Engineer - Platform
About Keyrock
Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.
Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight.
We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks as well as digital asset management. Keyrock is looking to expand and establish itself as a full-service financial institution through both organic innovation and inorganic growth.
But we&rsquo;re more than a service provider. We&rsquo;re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.
At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.
Mission statement
As a Platform Backend Engineer (Rust) at Keyrock, you will drive the development and maintenance of the backoffice and trading data platform systems at the core of our organisation. We are looking for a hands-on engineer who is experienced in building scalable, resilient, and high-performance systems and is eager to own the technical implementation of complex infrastructure. The ideal candidate thrives in fast-paced environments, actively collaborates with cross-functional teams, and applies a product-centric mindset to solve technical challenges that directly impact our trading and risk capabilities. 
Job description
Rust Development: Design, build, and maintain high-performance backend services and APIs using Rust, ensuring low latency and high availability for critical trading data platforms.
Data Pipeline Engineering: Implement efficient, scalable, and fault-tolerant data pipelines to feed real-time pricing and position data to trading and risk management systems.
System Integration: Create seamless integrations between live trading operations (exchanges/DeFi) and backoffice systems, automating workflows to improve operational efficiency.
Cloud-Native Deployment: Deploy and manage services in a cloud-native environment, leveraging AWS, Kubernetes, and Terraform to scale infrastructure infrastructure-as-code.
DevOps &amp; Observability: Maintain GitOps-driven workflows, ensuring robust CI/CD pipelines and implementing deep system observability (logging, metrics, tracing) for rapid incident response.
Database Optimization: Optimize data storage and retrieval strategies (SQL/NoSQL), balancing query performance, cost efficiency, and data integrity in a high-volume financial environment.
Security &amp; Compliance: Engineer solutions with a &quot;Security-First&quot; mindset, ensuring strict adherence to compliance standards and secure handling of sensitive financial data.
Cross-Functional Collaboration: Partner with Product Managers, Risk teams, and other engineers to translate complex business requirements into reliable technical specifications and features.
Technical Excellence: Actively participate in code reviews, contribute to architectural discussions, and mentor fellow engineers to foster a culture of high code quality and innovation.
Continuous Improvement: Stay updated on emerging trends in the Rust ecosystem, cloud infrastructure, and blockchain technologies to continuously refine the platform&rsquo;s capabilities.
Background and experience<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field, or equivalent experience.</li><li>
Proven experience in building and maintaining data-intensive, large-scale, high-performance trading data platforms.</li><li>
Strong expertise in Rust (or C++), Python, and TypeScript for system development and automation in the financial services industry.</li><li>
Deep understanding of data engineering principles, including data modeling, ETL pipelines, and stream processing.</li><li>
Experience with financial services data workflows, including trading, middle office, and back office operations.</li><li>
Extensive experience in cloud-native architectures, with proficiency in AWS</li><li>
Proficient in GitOps tools and methodologies for infrastructure automation and deployment.</li><li>
Strong background in DevSecFinOps, ensuring compliance, security, and cost efficiency across the development lifecycle.</li><li>
Hands-on experience with CI/CD pipelines, infrastructure as code (IaC), and monitoring tools.</li></ul>
Our recruitment philosophy
We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who&rsquo;s driven, collaborative, acts with ownership and delivers solid, scalable outcomes.
Our offer<ul><li>
A competitive salary package</li><li>
Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely</li><li>
The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence</li></ul>
As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance.
Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.
https://keyrock.com/careers/</div>

Rust Engineer - Platform Trading

Gulftainer

A leading logistics company in the UAE is seeking a Data Engineer to develop scalable data pipelines, perform data harmonization, and optimize data processing. The ideal candidate will have deep expertise in Power BI, data warehousing, and machine learning. A Bachelor's or Master's degree in a relevant field and a minimum of 4-6 years of experience are required. This role offers the chance to work with various data technologies in a dynamic environment.

Power BI Dashboards Architect for Scalable Insights

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Rust Engineer - Platform Trading

Power BI Dashboards Architect for Scalable Insights