electrical engineer

project engineer

mechanical engineer

civil engineer

mep engineer

data engineer

Huspy

<div>
 <strong>
  The Story So Far: We&rsquo;re Building a Global Brand in Real Estate
  <br/>
  <br/>
 </strong>
 Huspy is one of the leading property technology companies in EMEA.
 <br/>
 <br/>
 Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026. Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we&rsquo;ve entered.
 <br/>
 <br/>
 We&rsquo;ve raised over $140 million (Series A and Series B) from the world&rsquo;s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.
 <br/>
 <br/>
 We&rsquo;ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world&rsquo;s most traditional industries. We&rsquo;re transforming how property transactions happen &mdash; faster, smarter, and better for everyone.
 <br/>
 <br/>
 We&rsquo;re not slowing down. The question is: will you be part of what&rsquo;s next?
 <br/>
 <br/>
 <strong>
  The Main Event: What You&rsquo;ll Drive, Build, and Own
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect our Data's Future: Design and own the transformation layer of our stack using dbt and Snowflake, creating the clean, scalable models that serve as the definitive source of truth for our global metrics.
  </li>
  <li>
   Power the Huspy AI Engine: Build the robust data infrastructure and semantic context required for our AI tools. You'll ensure our models provide the "clean fuel" (metadata, documentation, and governed datasets) that allows AI agents to generate accurate, automated insights. 🤖
  </li>
  <li>
   Guarantee End-to-End Trust: Develop automated reconciliation processes to ensure data integrity from raw ingestion through to the final BI layer. You'll ensure that what the business&mdash;and our AI&mdash;sees in Omni is 100% verified and trusted. ✅
  </li>
  <li>
   Own the Event Foundation: Lead the charge on event tracking (using tools like Braze or our in-house Karvel). You'll define requirements, enforce data contracts, and build the standardization that powers our product-led growth. 🚀
  </li>
  <li>
   Build a Self-Serve Ecosystem: Empower the organization by developing curated tables and maintaining our BI layer in Omni, enabling true self-service analytics for every team.
  </li>
  <li>
   Automate for Scale: Implement robust CI/CD pipelines and GitHub automations (SQL linting, required testing) to validate pull requests, ensuring we maintain high standards as the team grows.
  </li>
  <li>
   Optimize for Performance: Deep-dive into Snowflake usage and AWS costs, implementing best practices to ensure our data platform is as cost-effective as it is powerful.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Perfect Match: What It Takes to Succeed at Huspy
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven Experience: 4+ years in a modeling-heavy role. We care about your ability to structure data, regardless of your previous title.
  </li>
  <li>
   dbt is Your Superpower: Advanced-level proficiency with dbt. You speak fluently about macros, packages, testing, and modular project structure.
  </li>
  <li>
   SQL &amp; Data Warehousing Master: Advanced SQL skills and deep experience with Snowflake (or similar cloud warehouses).
  </li>
  <li>
   A Modeler's Mindset: Deep understanding of dimensional modeling (e.g., Kimball) and the ability to design models that are both comprehensive and intuitive for both humans and AI agents.
  </li>
  <li>
   Pragmatic Programmer: Experience with Python for scripting, automation, and interacting with APIs to bridge the gap between raw data and insights.
  </li>
  <li>
   Excellent Communicator: You can translate complex technical concepts to non-technical stakeholders and understand how to turn business requirements into robust data models.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Work Setup:
 </strong>
 Hybrid in Dubai or Madrid, remote anywhere in the EU. Or we offer relocation support to Dubai or Madrid, if preferred.
</div>


Data Analytics Engineer

Envision Employment Solutions

<div><p><b>Envision Employment Solutions </b>is currently hiring <b>Senior Data Management Engineers </b>for one of our partners, a global leader in IT Services and IT Consulting.</p><p></p><p><b>
Job Summary:</b></p><p>
We are seeking a Senior Data Management Engineer with strong expertise in data architecture, integration, and transformation, particularly using Informatica tools.</p><p></p><p>
The ideal candidate will design and implement end-to-end enterprise data solutions that ensure data accessibility, quality, governance, and scalability across business domains.</p><p></p><p>
You will collaborate with cross-functional stakeholders to translate business requirements into secure, reliable, and high-performance data systems..</p><p></p><p><b>
Responsibilities:</b></p><ul><li>
Design, build, and maintain robust ETL processes and data pipelines using Informatica (PowerCenter, IDQ, or Cloud Data Integration)</li><li>
Develop and optimize data integration workflows for structured and unstructured data sources</li><li>
Ensure data quality, integrity, governance, and security across enterprise platforms</li><li>
Participate in data modeling and architecture discussions</li><li>
Collaborate with data architects, business analysts, and application teams to align data solutions with business requirements</li><li>
Maintain documentation of data flows, transformations, and system architecture</li><li>
Troubleshoot performance bottlenecks and resolve complex data-related issues</li><li>
Support enterprise data governance and metadata management initiatives</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or related field</li><li>
3 to 5 years of experience in data engineering or data management roles</li><li>
Strong hands-on experience with Informatica (PowerCenter, IDQ, or Cloud Data Integration)</li><li>
Strong SQL skills and experience with relational databases (Oracle, SQL Server, etc.)</li><li>
Solid understanding of data warehousing concepts and enterprise data architecture</li><li>
Experience in data governance and metadata management</li><li>
Familiarity with cloud data platforms (AWS, Azure, or GCP) is a plus</li><li>
Strong analytical and troubleshooting skills</li><li>
Very good communication skills in English</li></ul><br>
<b>
Benefits</b><p><b><br>
Benefits &amp; Work Setup</b></p><ul><li>
Basic salary</li><li>
Social insurance</li><li>
Family Medical Insurance (AXA)</li><li><b>
Location:</b> Dubai</li><li><b>
Work Model:</b> Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.</li><li><b>
Working Hours:</b> 9 AM to 6 PM</li><li><b>
Days Off:</b> Saturday and Sundays</li></ul></div>

Senior Data Management Engineer

The Emirates Group

<div><h5 class="jobSectionHeader"><b>Job Purpose<br>
</b></h5> <p>The Chief Directorate Department at Emirates Airlines oversees strategic planning, operational excellence, and innovation across various divisions. It plays a key role in driving the airline's growth, enhancing customer experience, and ensuring seamless global operations.<br>
</p><p>As a <b>Senior Data Quality &amp; Automation Engineer </b>you will be a fully participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data &amp; Analytics space. The role involves hands on contributing to quality practices along with designing and implementing data quality and automation platforms. They will also provide support to technical analytics solutions and products that support Emirates Airlines and the Emirates Group businesses.
</p><p><b>In this role you will:
</b></p><ul><li>Work closely with product owners, analysts, software engineers and architects to understand the technical landscape and context of deliveries to refine complex functional and non-functional requirements and translate it into fit for purpose acceptance tests.
</li><li>Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors and select methods to validate and automate the solution.
</li><li>Build test strategies and test plans validating the core business problem and translating them into tests around code functionality, data quality, performance, and security.
</li><li>Build and support generating or mocking of test data for exploratory analysis and running tests.
</li><li>Design and build automated tests / jobs of moderate to high scope and complexity across all stages of the data pipeline while demonstrating good coding &amp; design practices and adhering to published coding standards and guidelines.
</li><li>Build and enhance data quality rules and platforms for observability across the data pipeline
</li><li>Debug complex issues, resolve blockers and follow design documents with minimal or no supervision.
</li><li>Conduct data analysis activities such as source system analysis, data modelling, data dictionary collection, data profiling and source-to-target mapping ensuring delivery on business needs.
</li>Support in updating data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed Data Governance standards, guidelines and principles.<br>
<li>
</li></ul><p></p><br>
<h5 class="jobSectionHeader"><b>Qualification
</b></h5><p><b>To be considered for the role, you must meet the below requirements:
</b></p><ul><li>Degree or Honours (12+3 or equivalent) in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering.
</li><li>Experience 2+ years Data Engineering experience with focus on quality &amp; automation.
</li><li>Minimum 2+ years of testing, automation and support experience in analytics applications such as Data Lake and Data Warehouse (preferably using the Big Data stack and Microsoft Azure cloud infrastructure).
</li><li>Seasoned in identifying quality issues across complex data pipelines running on big data technologies and defining rules for validating health of the data.
</li><li>Experienced in a wide variety of testing methods and tools covering functional, performance, security tests across individual jobs, pipelines and end to end across enterprise.
</li><li>Well versed in building automated checks running in a CI pipeline to validate the ETL / ELT jobs are performing as expected.
</li><li>Experience with batch and real-time data ingestion/integration tools and technologies handling massive quantities of data (structured and unstructured).
</li><li>Exposed to data architecture concepts such as data modelling, Big Data storage, and dimensional modelling.
</li><li>Exposed to working with jobs in data pipelines and define metrics / measures to ensure correctness of the data.
</li>Programming (Python or Scala) and SQL querying skills is required.<br>
<li>
</li></ul><p></p><br>
<p><b>Knowledge/Skills:
</b></p><ul><li>Ability to drive quality of data assets independently.
</li><li>Able to deliver solutions (and associated value) interactively.
</li><li>Strong ability to conduct data analysis (e.g. source system identification, data dictionary / metadata collection, data profiling, source-to-target mapping) is preferred.
</li><li>Operates with a &ldquo;You Code It, You Own It&rdquo; mindset (i.e. supports the products they build).
</li><li>Team player; able to collaborate with others to remove blockers, solve complex design problems and debug/resolve issues.
</li><li>Is accountable and displays positive attitude.
</li><li>Self-starter and has passion for exploring and learning new technologies, especially those in the Enterprise Data &amp; Analytics space.
</li><li>Exposure to Spark &amp; airline industry experience is nice-to-have.
</li>Specialization or electives in a Data &amp; Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have.<br>
<li>
 </li></ul><p></p><br>
<p><b>Key Technologies/Tools
</b></p><p>Big Data &amp; distributed processing: Spark, Hadoop (HDFS, Hive, H-Base, Oozie), Airflow, Apache Nifi, Azure (ADLS, DataBricks, Azure Data Factory), Elasticsearch, AVRO / PARQUET file formats. Data Analysis, Modelling and Reporting: Snowflake, SQL, Data Vault 2.0, MicroStrategy, Power BI. Cloud Technologies: Microsoft Azure and Cloudera technology stacks. Integration and Messaging: Streaming (e.g. Spark Streaming), SnapLogic, TIBCO, Kafka. CI/CD: GIT, Bitbucket, Jenkins, Azure DevOps, Kubernetes, docker, SonarQube, Gatling. Languages: Scala, Python.<br>
</p><p></p><p>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!
</p><h5 class="jobSectionHeader"><b>Salary &amp; benefits
</b></h5><p>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</p></div>

Senior Data Quality Engineer

Wipro

<div>
 <p>
  Job Title : Technical Specialist
 </p>
 <p>
  Location : Dubai
 </p>
 <p>
  Skills : Talend, SQL, Data Analytics, RedShift DB with Retail knowledge.
 </p>
 <ul>
  <li>
   Lead the design and implementation of scalable, high‑performance ETL/ELT pipelines and data integration architectures.
  </li>
  <li>
   Optimize existing data platforms, resolving architectural and performance gaps.
  </li>
  <li>
   Drive development of enterprise data models, data marts, and data warehousing solutions.
  </li>
  <li>
   Own end‑to‑end data architecture across ingestion, transformation, storage, and consumption layers.
  </li>
  <li>
   Define data engineering standards, best practices, and reusable architectural patterns.
  </li>
  <li>
   Architect cloud‑based data solutions on AWS and Azure using services like AWS Glue and Azure Data Factory.
  </li>
  <li>
   Integrate and optimize big‑data technologies such as Spark, Hadoop, and Kafka.
  </li>
  <li>
   Establish data governance frameworks including lineage, cataloguing, metadata, and quality controls.
  </li>
  <li>
   Lead data security architecture to ensure regulatory and organizational compliance.
  </li>
  <li>
   Provide architectural guidance on data quality, validation, and master data management.
  </li>
  <li>
   Partner with cross‑functional teams to align data architecture with business priorities.
  </li>
  <li>
   Mentor data engineers and provide technical oversight.
  </li>
  <li>
   Communicate architectural concepts effectively to technical and non‑technical stakeholders.
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Required Skills &amp; Qualifications:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Proven experience as a Data Architect, Senior Data Engineer, or equivalent role.
  </li>
  <li>
   Strong expertise in designing and architecting ETL/ELT systems.
  </li>
  <li>
   Advanced proficiency in Python, Scala, and SQL.
  </li>
  <li>
   Solid experience with workflow orchestration tools like Apache Airflow.
  </li>
  <li>
   Hands on architectural experience with cloud platforms such as AWS, Azure, and cloud native integration tools (AWS Glue, Azure Data Factory).
  </li>
 </ul>
 <p>
 </p>
</div>


Talend & Cloud Data Lake Technical Specialist

Binance

<div><div>Binance is a leading global blockchain ecosystem behind the world&rsquo;s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.</div><div></div><div><br>
We are seeking an <b>SEO Automation Engineer</b> who applies a software engineering mindset to the world of organic search. This is not a traditional marketing role; we are looking for a builder who can design, configure and deploy Python-based systems to automate the SEO lifecycle. You will focus on building robust data pipelines, programmatic optimization tools, and LLM-integrated workflows that scale our organic growth across millions of pages.</div>
<h3 class="jobSectionHeader"><b>Responsibilities:</b></h3><ul><li>
Architect and maintain automated SEO diagnostic systems using <b>Python and BigQuery</b> to analyze 500K+ pages at scale</li><li>
Develop technical strategies for <b>Generative Search</b> (AI Overviews, ChatGPT, Perplexity) through structured data and programmatic content signals</li><li>
Build and deploy programmatic internal linking systems using <b>SQL and graph-based logic</b> to automate site architecture</li><li>
Create automated content quality assessment workflows using <b>LLM APIs (OpenAI/Anthropic)</b> to identify thin content and cannibalization</li><li>
Build and maintain custom SEO APIs and <b>MCP servers</b> to integrate external datasets with internal LLM-agent workflows</li><li>
Develop Python scripts for high-volume <b>log file analysis</b>, crawl-budget optimization, and rendering diagnostics</li><li>
Engineer SQL-heavy performance dashboards unifying organic traffic, conversion attribution, and competitive positioning</li><li>
Implement complex <b>Schema.org</b><b> deployments</b> and automated authorship systems within <b>CI/CD pipelines</b></li><li>
Use algorithmic logic for keyword clustering and intent classification across multi-language datasets</li><li>
Build automated SEO QA frameworks (indexability, hreflang, and core web vitals validation) into the production pipeline</li></ul><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><li>
5+ years of experience in Software Engineering or Data Engineering with a proven track record of hands-on SEO execution at scale</li><li>
Advanced proficiency in SQL and BigQuery, with specific experience architecting data warehouse solutions for SEO and performance analytics</li><li>
Strong Python programming experience: pandas, scikit-learn, API integrations, web scraping, data pipeline orchestration</li><li>
Deep understanding of LLM architectures, RAG systems, and prompt engineering to build search-optimized workflows and agentic tools</li><li>
Hands-on experience developing custom SEO automation tools, crawlers, and scripts that have driven measurable organic growth</li><li>
Strong knowledge of NLP, semantic search, entity-based SEO, and knowledge graph concepts.</li><li>
Proficiency with cloud platforms (GCP/AWS) and workflow orchestration tools like Airflow or GitHub Actions to manage automated tasks</li><li>
Expertise in managing and integrating enterprise SEO APIs, including Google Search Console, Ahrefs, and DataForSEO</li><li>
Technical mastery of modern web technologies, including JavaScript rendering (SSR/CSR), indexability diagnostics, and Core Web Vitals optimization</li><li>
Ability to translate complex business requirements into clear technical specifications and production-ready code</li><li>
Business-level fluency in English is required; professional proficiency in Mandarin is a strong plus to effectively interface with global technical teams</li><li>
Prior experience in the cryptocurrency or fintech industry is highly preferred</li></ul><div><b>
Why Binance</b></div><ul><li>Shape the future with the world&rsquo;s leading blockchain ecosystem</li><li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li><li>Tackle unique, fast-paced projects with autonomy in an innovative environment</li><li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li><li>Competitive salary and company benefits</li><li>Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)</li></ul><div></div><div><br>
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.</div><div><i>
By submitting a job application, you confirm that you have read and agree to our </i><b><i>Candidate Privacy Notice</i></b><i>.</i></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

SEO Automation Engineer, Global

Deeplight

<p></p><div><p>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.</p><p>
The Backend Engineer is a pivotal role within the Technology Services group, designed to drive digital transformation and innovation in banking. You will be responsible for developing scalable, AI-powered applications and Generative AI (GenAI) solutions that enhance core banking processes and customer digital journeys. By integrating advanced analytics, conversational AI, and cloud-native architectures, you will build secure, modular systems that bridge the gap between complex data requirements and strategic business outcomes. This role requires a blend of technical mastery in modern frameworks and a deep understanding of banking operations to deliver high-impact enterprise platforms.</p><p></p><p><b>
As the Backend Engineer, your responsibilities will include:</b></p><p></p><ul><li>
Application Development: Design, build, and deploy full-stack, AI-powered web applications using microservices and RESTful APIs.</li><li>
GenAI Integration: Implement Generative AI engineering principles, including Retrieval-Augmented Generation (RAG) and agentic workflows, into enterprise-grade digital platforms.</li><li>
Architecture &amp; Design: Create modular, scalable architectures and establish documentation standards and reusable templates for AI projects.</li><li>
Data Engineering: Design and implement robust data pipelines, pre-processing workflows, and governance frameworks to handle large, complex datasets.</li><li>
DevOps &amp; Deployment: Manage containerization (Docker) and CI/CD pipelines to ensure automated, secure, and scalable deployments.</li><li>
Collaboration: Act as an &quot;analytics translator&quot; between business units and IT, coordinating with UI/UX teams, Data Scientists, and AI Engineers to align technical builds with business growth.</li><li>
Compliance &amp; Standards: Adhere to all organizational policies, service standards, and procedural instructions to ensure consistent, high-quality delivery.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.<br>
</i></p><p><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.<br>
</i></p><p><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.<br>
</i></p><p><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.<br>
</i></p><p><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><p><b><br>
The key requirements for this role are:</b></p><p></p><ul><li>
Proficiency in back-end frameworks (FastAPI, Flask, or Node.js) and front-end frameworks (React.js, Angular, or Vue.js).</li><li>
Strong grasp of GenAI engineering, LLM integration (Azure OpenAI), and RAG workflows.</li><li>
Hands-on experience with Azure or AWS ecosystems, including serverless deployments (Azure Functions/AWS Lambda) and cloud storage (S3, Blobs).</li><li>
Advanced coding skills in Python and JavaScript/TypeScript.</li><li>
Expert-level knowledge of Docker, container registries (ACR), and CI/CD automation.</li></ul><p></p><p><b>
You should also have the following:</b></p><p></p><ul><li>
A Bachelor&rsquo;s degree in a quantitative field such as Computer Science, Software Engineering, or a related discipline.</li><li>
A minimum of 5+ years in professional software development.</li><li>
Proven track record in building scalable, secure web applications and integrating AI models within a cloud-native environment (Azure preferred).</li><li>
Advanced knowledge of banking operations, terminologies, and financial services products.</li></ul><p></p><p><b>
It would be preferable if you also have:</b></p><p></p><ul><li>
The ability to analyse complex banking products and services to drive innovation and decision-making.</li><li>
Proven ability to translate complex technical/data requirements for non-technical internal stakeholders.</li><li>
The capacity to manage and motivate team members to contribute to change initiatives and continuous improvement.</li><li>
The ability to work effectively in an ad-hoc, fast-paced environment across different functional teams.</li></ul><br>
<b>
Benefits</b><p><b><br>
Benefits &amp; Growth Opportunities:</b></p><ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul><p></p><p>
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.</p><p>
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</p><p>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</p><p>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</p></div><p></p>

Backend Engineer

Dyson

<div><h2 class="jobSectionHeader"><b>Summary</b></h2>
<div><div>Salary:</div>
<div>Competitive</div>
<div>Job Family:</div>
<div>Product Software Engineering</div>
<div>Location:</div>
<div>United Arab Emirates - Dubai Office</div></div></div>
<br><div><div><div><div><h2 class="jobSectionHeader"><b>About us</b></h2><p>
At Dyson, we&rsquo;re driven by a relentless pursuit of innovation&mdash;pushing boundaries in engineering, AI, and robotics. Our new Data Intelligence team sits at the heart of this mission: shaping Dyson&rsquo;s future through data. Here, we blend creativity, precision, and audacity to power intelligent products. We craft data strategies and pipelines that fuel the next generation of connected devices.</p><p></p><p><br>
You&rsquo;ll work alongside brilliant minds from Dyson global engineering team and external software/hardware partners in an environment built for exploration, discovery, delivery and impact.</p></div><div><h2 class="jobSectionHeader"><b><br>
</b></h2></div><div><h2 class="jobSectionHeader"><b>
About the role</b></h2></div><div><h2 class="jobSectionHeader"><b>
We are looking for a specialized Data Intelligence Machine Learning Engineer to design and implement in-house tools that automate our data labelling pipelines. Your primary goal will be to reduce our reliance on manual annotation by leveraging techniques like Active Learning, Weak Supervision, and Synthetic Data Generation. You will bridge the gap between raw data collection and model-ready datasets, ensuring high-quality labels at scale.</b></h2></div><div><h2 class="jobSectionHeader"><b>
</b></h2></div><div><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li><p>
Architect Labelling Pipelines: Design and deploy end-to-end automated labelling systems using frameworks like Snorkel, Cleanlab, or custom active learning loops.</p></li><li><p>
Develop &quot;Human-in-the-Loop&quot; (HITL) Systems: Build interfaces and workflows where models pre-label data and humans only intervene on high-uncertainty samples.</p></li><li><p>
Quality Assurance &amp; Denoising: Implement algorithmic checks to identify and correct mislabelled or &quot;noisy&quot; data within existing datasets.</p></li><li><p>
Tooling &amp; Integration: Collaborate with software engineers to integrate labelling tools with our existing data lakes and ML training infrastructure.</p></li><li><p>
Model Optimization: Fine-tune &quot;teacher&quot; models to generate high-quality pseudo-labels for &quot;student&quot; models.</p></li><li><p>
Set up and maintain robust data preparation infrastructure&mdash;optimising for data quality, speed, and seamless integration with downstream MLOps pipelines.</p></li><li><p>
Perform data visualization and in-depth analysis using advanced data and feature engineering techniques. You&rsquo;ll help transform raw data into actionable insight, supporting both research and deployment.</p></li><li><p>
Work closely with Data Scientists, Software Engineers, and Product teams to ensure high data quality and usability across products and projects.</p></li></ul></div><div><h2 class="jobSectionHeader"><b><br>
</b></h2></div><div><h2 class="jobSectionHeader"><b>
About you</b></h2><ul><li><p>
At least 3+ years of professional experience in Machine Learning engineering, specifically focused on data centric-AI or computer vision/NLP pipelines.</p></li><li><p>
Proficiency in Python: Mastery of the Machine Learning stack (PyTorch or TensorFlow, NumPy, Pandas, Scikit-learn).</p></li><li><p>
Automated Labelling Expertise: Proven experience with Weak Supervision (labelling functions) or Active Learning strategies (uncertainty sampling, diversity sampling).</p></li><li><p>
Data Engineering: Experience with SQL and NoSQL databases, and managing large-scale unstructured data (images, text, or audio).</p></li><li><p>
Cloud Infrastructure: Familiarity with AWS (SageMaker Ground Truth), GCP (Vertex AI), or Azure ML labelling services.</p></li><li><p>
Version Control for Data: Experience with DVC (Data Version Control) or similar tools to track dataset iterations.</p></li><li><p>
Hands-on expertise building auto-labelling solutions or working with large-scale data annotation workflows.</p></li><li><p>
Advanced skills in Python (and/or other relevant languages), and experience with key ML/data science libraries (e.g. TensorFlow, PyTorch, scikit-learn, pandas).</p></li><li><p>
Experience designing, deploying, and maintaining scalable data pipelines, including data cleansing, transformation, and storage (cloud, on-prem, or hybrid).</p></li><li><p>
Strong background in feature engineering, data analysis, and data visualization&mdash;comfortable using tools like Jupyter, Tableau, or Power BI.</p></li><li><p>
Great communicator who documents solutions clearly and collaborates effortlessly across technical and non-technical teams.</p></li><li><p>
Able to balance speed and quality, stay curious about new developments, and deliver results in a fast-moving environment.</p></li><li><p>
Bachelor&rsquo;s or Master's degree in computer science, Engineering, Mathematics, Data Science, or a related field.</p></li></ul><p><br>
Dyson is an equal opportunity employer. We know that great minds don&rsquo;t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.</p></div></div></div></div>

Data Intelligence Machine Learning Engineer

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