project engineer

planning engineer

data analyst

sales engineer

graduate piping engineer

data pipeline engineer

Muller's Solutions

<div>M&uuml;ller&rsquo;s Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting. 
Key Responsibilities:<ul><li>
Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services.</li><li>
Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing.</li><li>
Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs.</li><li>
Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise.</li><li>
Ensure data quality by developing and implementing validation routines and data profiling techniques.</li><li>
Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team.</li><li>
Stay informed of emerging trends and best practices in data engineering and GCP technologies.</li><li>
Participate in team efforts to define and enhance data governance and management practices.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.</li>
<li>3+ years of experience in data engineering, with a focus on Google Cloud Platform.</li>
<li>Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools.</li>
<li>Strong SQL skills and experience in data modeling and data warehousing concepts.</li>
<li>Familiarity with programming languages such as Python or Java for data processing tasks.</li>
<li>Ability to work with various data sources, including structured and unstructured data.</li>
<li>Strong analytical and problem-solving skills with attention to detail.</li>
<li>Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable.</li>
<li>Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub.</li>
<li>Understanding of CI/CD practices in data engineering workflows.</li>
<li>Knowledge of data visualization tools and techniques to present data insights effectively.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Google Cloud Data Engineer

AMOUAGE

<div>
 
 
 Join the House of AMOUAGE
 
 
 
 
 
 
 
 Your Mission
 
 
 
 We are currently looking for a dynamic and results-driven Data Analytics Engineer responsible for building, maintaining, and optimizing end-to-end data pipelines and analytical solutions within a Microsoft-first cloud ecosystem, supporting luxury retail, e-commerce, and supply chain operations.
 
 
 
 
 
 
 Your Impact
 
 
 <ul>
 <li>
 Built and maintained scalable data pipelines using Microsoft Fabric Data Factory, Azure Data Factory, and PySpark notebooks to ingest, transform, and deliver data across bronze, silver, and gold layers of the Medallion architecture.
 </li>
 <li>
 Developed and optimized SQL and PySpark transformation logic within Fabric Lakehouses and OneLake, ensuring data accuracy, consistency, and performance at scale.
 </li>
 <li>
 Extracted, loaded, and transformed data from Microsoft Dynamics 365 (Finance, Supply Chain, and Commerce) into the Fabric data platform using Dataflows Gen2, virtual tables, and API-based connectors.
 </li>
 <li>
 Developed and maintained Power BI reports and semantic models using Direct Lake mode, DAX measures, and star schema design to support commercial and operational stakeholders.
 </li>
 <li>
 Built practical Power Apps canvas and model-driven apps connected to Dynamics 365 and Fabric data, enabling business users to interact with and act on live data.
 </li>
 <li>
 Automated repetitive data and business workflows using Power Automate, including Dynamics 365 event-driven triggers and Fabric data alerts.
 </li>
 <li>
 Implemented data quality checks, validation rules, and anomaly detection within pipelines to maintain data integrity across all layers.
 </li>
 <li>
 Applied Microsoft Purview for data cataloguing, lineage tracking, and classification of sensitive data assets across Fabric and Dynamics environments.
 </li>
 <li>
 Collaborated with business analysts and stakeholders to translate requirements into analytical models, KPIs, and self-service reporting solutions.
 </li>
 <li>
 Participated in and contributed to POCs, testing, and iterative delivery of new Fabric and Power Platform features.
 </li>
 </ul>
 
 
 
 
 
 Your Journey With Us
 
 
 
 
 
 
 The House of AMOUAGE has been on an aggressive growth trajectory within the fast-growing ultra luxury perfumes segment, unlocking tremendous personal and career development opportunities for our team members across multiple locations, including Muscat, Dubai, New York, Seoul and Kuala Lumpur.
 
 
 
 
 
 
 Your Expertise
 
 
 <ul>
 <li>
 Delivered near-real-time data pipelines connecting Dynamics 365 Supply Chain and Commerce data into Microsoft Fabric, reducing reporting lag from days to minutes.
 </li>
 <li>
 Built a suite of Power BI Direct Lake dashboards used daily by commercial and operations teams for performance tracking and decision making.
 </li>
 <li>
 Developed reusable Power Apps solutions that replaced manual spreadsheet processes, saving significant time across business teams.
 </li>
 <li>
 Improved pipeline reliability and data quality by implementing automated validation frameworks within Microsoft Fabric notebooks.
 </li>
 <li>
 Accelerated time-to-insight by building reusable transformation templates and semantic.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 
 
 
 <ul>
 <li>
 Microsoft Fabric, PySpark, SQL, Dataflows Gen2, Azure Data Factory, OneLake, Power BI (DAX, Direct Lake) Power Apps (Canvas &amp; Model-Driven), Power Automate, Microsoft, Dynamics 365 (Finance, SCM, Commerce) Microsoft Purview, Azure Data Lake Storage and Python.
 </li>
 </ul>
 
 
 
 
 
 The AMOUAGE Advantage
 
 
 
 
 
 
 Join a House that has been creating luxury fragrance experiences since 1983. At AMOUAGE, you'll be part of a legacy that combines artisanal craftsmanship with modern innovation, bringing extraordinary olfactory experiences to clients worldwide.
 
</div>

Data Analytics Engineer

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose 
</h5> 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. 
As a Senior Data Quality &amp; Automation Engineer 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.
In this role you will:
<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. 
<li>
</li></ul> 
<h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role, you must meet the below requirements:
<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. 
<li>
</li></ul> 
Knowledge/Skills:
<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. 
<li>
 </li></ul> 
Key Technologies/Tools
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. 
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!
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>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</div>

Senior Data Quality Engineer

<div>M&uuml;ller&rsquo;s Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.
Key Responsibilities:<ul>
<li>Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka.</li>
<li>Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs.</li>
<li>Ensure high data quality and integrity by implementing robust data validation and testing processes.</li>
<li>Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments.</li>
<li>Monitor and troubleshoot data processing workflows to ensure timely data delivery.</li>
<li>Document data architectures, processes, and workflows for knowledge sharing and compliance.</li>
<li>Stay ahead of industry trends and best practices in big data technologies and methodologies.</li> 
</ul> 
 
Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>3+ years of experience as a Big Data Engineer or in a similar data engineering role.</li>
<li>Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka.</li>
<li>Strong coding skills in programming languages like Java, Scala, or Python.</li>
<li>Familiarity with data processing frameworks and ETL tools.</li>
<li>Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery).</li>
<li>Analytical mindset and excellent problem-solving abilities.</li>
<li>Strong communication skills to collaborate effectively with technical and non-technical stakeholders.</li>
<li>A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines.</li>
</ul>Preferred Qualifications:<ul>
<li>Experience with machine learning frameworks and algorithms is a plus.</li>
<li>Knowledge of data governance and security best practices.</li>
<li>Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Big Data Engineer

WireHire

<div>
 We are looking to onboard
 
 2 experienced Data Engineers
 
 for a
 
 6&ndash;9 month engagement
 
 to support a high-impact delivery programme at our clients corporate office in
 
 Dubai
 
 .
 
 
 This is a time-bound, delivery-focused role, ideal for professionals with strong project or contract experience who can hit the ground running.
 
 
 Role Overview
 
 
 The selected candidates will be responsible for building and managing
 
 data ingestion pipelines into Microsoft Fabric Lakehouses
 
 across multiple school systems.
 
 
 Key Requirements
 
 
 <ul>
 <li>
 Strong hands-on experience with Microsoft Fabric
 </li>
 <ul>
 <li>
 Lakehouse architecture
 </li>
 <li>
 Data Pipelines
 </li>
 <li>
 Ingestion patterns
 
 </li>
 </ul>
 <li>
 Experience working with Dynamics 365
 </li>
 <ul>
 <li>
 Understanding of data structures
 </li>
 <li>
 Integration approaches
 
 </li>
 </ul>
 <li>
 Solid API integration experience
 </li>
 <ul>
 <li>
 REST APIs
 </li>
 <li>
 Authentication mechanisms
 </li>
 <li>
 Incremental extraction patterns
 
 </li>
 </ul>
 <li>
 Prior experience in project-based / contract roles preferred
 </li>
 <li>
 Ability to start immediately
 
 
 </li>
 </ul>
 Location
 
 
 Client Corporate Office &ndash; Dubai (On-site)
</div>

Data Engineers

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> 
We are seeking an SEO Automation Engineer 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">Responsibilities:</h3><ul><li>
Architect and maintain automated SEO diagnostic systems using Python and BigQuery to analyze 500K+ pages at scale</li><li>
Develop technical strategies for Generative Search (AI Overviews, ChatGPT, Perplexity) through structured data and programmatic content signals</li><li>
Build and deploy programmatic internal linking systems using SQL and graph-based logic to automate site architecture</li><li>
Create automated content quality assessment workflows using LLM APIs (OpenAI/Anthropic) to identify thin content and cannibalization</li><li>
Build and maintain custom SEO APIs and MCP servers to integrate external datasets with internal LLM-agent workflows</li><li>
Develop Python scripts for high-volume log file analysis, 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 Schema.org deployments and automated authorship systems within CI/CD pipelines</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">
Requirements:</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>
Why Binance</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> 
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.</div><div>
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.</div>

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.</div>

SEO Automation Engineer, Global

Dezzex

We are looking for a competitive Senior Enterprise Sales Engineer to develop sales strategies and attract new clients. The successful salesperson will source new sales opportunities and close sales to achieve quotas. The successful candidate will play a key role in increasing income and revenue by managing and negotiating with clients, generating leads, qualifying prospects and managing sales of products and services.10+ Year software sales experience in GCC, Arabic English speaking,Key experience: Smart city Application, AI cognitive, cloud enterprise sales, Drone , Video Analytics.Must have expertise in UAE, KSA Mega Projects.English / Arabic Speaking10+ Year software sales experience in GCC, Arabic English speaking,<ul><li>Create Leads and sales pipeline</li><li>Create opportunity, forecast weekly, monthly, quarterly</li><li>Work with software vendors on weekly cadence call</li><li>Close monthly sales and achieve target</li><li>Create marketing awareness on solutions &amp; services</li><li>Identify new business opportunities, partnerships and contribute ideas for new solution accelerators by providing key market analysis &amp; data</li><li>Preferred experience working with IT Services companies for web / mobile applications.</li><li>Experience in selling Software licenses &amp; services</li><li>International Travel and Sales experience preferred</li><li>Smart personality</li><li>Interpersonal skills</li><li>Good communication skill in English (both verbal and written)</li><li>Affirmative email writing skills Updating the sales report in CRM</li></ul>Job Type: Full-timePay: AED10,000.00 - AED35,000.00 per month

Enterprise Sales Manager - AI / Smart city

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