civil engineer

project engineer

sales engineer

planning engineer

qa/qc engineer

database engineer

VaporVM

<div><div><div><b>Date Posted:</b></div>
08 April, 2026</div>
<div><div><b>Industry:</b></div>
IT Services and IT Consulting</div>
<div><div><b>Location:</b></div>
VaporVM</div></div>
<br><div><h2 class="jobSectionHeader"><b>Job Description:</b></h2>
<div><div>To design, implement, maintain, and optimize database systems that support enterprise applications and business operations. The Database Engineer will ensure high availability, security, scalability, and performance of database environments across the organization.</div>
<div></div>
<div></div><div>&ldquo;Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</div>
<div></div>
<div>3&ndash;5 years of experience in database engineering or administration.</div>
<div></div>
<div>Strong knowledge of SQL and relational database management systems (RDBMS) such as Oracle, Microsoft SQL Server, MySQL, or PostgreSQL.</div>
<div></div>
<div>Experience with NoSQL databases (MongoDB, Cassandra, etc.) is a plus.</div>
<div></div>
<div>Solid understanding of database design, normalization, indexing, and partitioning.</div>
<div></div>
<div>Familiarity with cloud database services (AWS RDS, Azure SQL, Google Cloud SQL).</div>
<div></div>
<div>Experience in backup/recovery tools and disaster recovery planning.</div>
<div></div>
<div>Knowledge of database security best practices.</div>
<div></div>
<div>Relevant certifications (e.g., Oracle Certified Professional, Microsoft Certified: Azure Database Administrator, AWS Database Specialty) are preferred.&rdquo;</div></div></div><p></p>

DB Engineer

BlackStone eIT

<div><p>BlackStone eIT is looking for a skilled <b>Data Platform Engineer</b> 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.</p><p>
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.</p><p></p>
Key Responsibilities<p>
Required Skills &amp; Technologies</p><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><br>
<b>
Requirements</b><br>
<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><br>
</ul><br>
<br>
<b>Benefits</b><br>
<ul>
<li>Paid Time Off</li>
<li>Performance Bonus</li>
<li>Training &amp; Development</li></ul></div>

Data Platform Engineer

GSSTech Group

<div><p>We are looking for a skilled <b>Data Engineer</b> with strong expertise in <b>PySpark and Data Modeling</b> 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.</p><p></p><b>
Key Responsibilities</b><ul><li>
Design, develop, and maintain scalable <b>data pipelines using PySpark</b></li><li>
Perform <b>data modeling</b> (conceptual, logical, and physical) for analytics and reporting</li><li>
Build and optimize <b>ETL/ELT workflows</b> 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><p></p><b>
Required Skills &amp; Qualifications</b><ul><li>
Strong experience in <b>PySpark and Apache Spark ecosystem</b></li><li>
Hands-on experience in <b>data modeling (Star Schema, Snowflake, etc.)</b></li><li>
Proficiency in <b>SQL and database technologies</b></li><li>
Experience with <b>data warehousing concepts</b></li><li>
Knowledge of <b>ETL/ELT tools and frameworks</b></li><li>
Familiarity with <b>cloud platforms (AWS / Azure / GCP)</b> is a plus</li><li>
Understanding of <b>big data technologies (Hadoop, Hive, Kafka, etc.)</b></li><li>
Strong problem-solving and analytical skills</li></ul><p></p><b>
Preferred Qualifications</b><ul><li>
Experience in <b>banking/financial services domain</b></li><li>
Exposure to <b>data governance and data quality frameworks</b></li><li>
Knowledge of <b>CI/CD pipelines and DevOps practices</b></li></ul></div><p></p>

Data Engineer (PySpark & Data Modeling)

Dubai Municipality

<p><b>Job Summary:</b></p><p>Design, implement, and optimize database architectures that support software applications. Translate business requirements into logical and physical data models by defining tables, relationships, constraints, and indexes to ensure performance, scalability, and data integrity. Collaborate with software engineers to integrate databases into application workflows, resolve performance issues, and implement security controls to protect persistent data..</p><p><b>Roles and responsibilities:</b></p><p>&middot; Candidate should have strong experience in data modelling, schema design, normalization, indexing, and query optimization across databases such as PostgreSQL, MSSQL, Oracle, and Redis.</p><p>&middot; You will collaborate with solution architect, DBAs, developers, and business analysts to translate business requirements into efficient, scalable, and maintainable database structures.</p><p>&middot; The Application Database designer will be proficient in RDBMS and will create logical and physical DDL for all system enhancements.</p><p>&middot; Hands-on experience with ETL processes, data integration (webMethods) and database performance tuning is highly desirable.</p><p>&middot; Strong analytical, problem-solving, and communication skills are essential to ensure data integrity, consistency, and optimal performance of enterprise database systems.</p><p>&middot; Support database migration and modernization initiatives from on-premise to cloud platforms</p><p>&middot; Collaborate with development, DevOps, and infrastructure teams to support database architecture, scalability, and integration in cloud or hybrid environments</p><p>&middot; Enforce database governance, security hardening, access control, encryption, and auditing.</p><p>&middot; Support presales, readiness assessments, and architectural discussions by providing expert input on database modernization strategies.</p><p>&middot; Undertake data migration from legacy system database to new Database by architecting the migration plan, preparing migration strategies, preparing migration scripts, executing scripts and successfully migration the data.</p><p><b>Desired Candidate Profile</b></p><ul><li>Bachelor s degree in Computer Science, Information Technology, or related field</li><li>10+ years of hands-on experience as a Database Design, with increasing levels of responsibility</li><li>Expert-level knowledge of Microsoft SQL Server, along with a strong understanding of at least one other major RDBMS platform (e.g., Oracle, PostgreSQL, MySQL).</li><li>Proven experience with backup and recovery, HA/DR design, and replication strategies</li><li>In-depth understanding of database security, access control, and compliance best practices.</li><li>Ability to handle complex database environments with multiple integrations and high transaction volume.</li><li>Excellent communication and leadership skills with a proven ability to mentor and lead technical teams</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Certifications in AWS, Azure, or GCP database services, as well as Microsoft database services.</li><li>Experience working in DevOps or SRE environments, integrating databases into CI/CD pipelines</li><li>Scripting or automation experience in Python, PowerShell, Shell, or similar</li><li>Knowledge of data privacy regulations and compliance frameworks (GDPR, HIPAA, ..)</li><li>Knowledge of local and international compliance and regulatory frameworks (NCA, SAMA, ISO 27001)</li></ul><p>Job Types: Full-time, Contract</p><p>Work Location: In person</p>

Application Database Designer

Dell Technologies

<p></p><div><p>Our field sales professionals rely on proactive technical support during the sales process &ndash; and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need.</p><p>
Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in <b>Dubai, United Arab Emirates.</b></p><div><b><br>
What you&rsquo;ll achieve</b><br>
As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services.<br>
<br>
<b>You will:</b><br>
<ul><li>Build and lead relationships for highly sophisticated customer accounts</li><li>Conduct customer needs analysis and anticipate requirements beyond existing solution&rsquo;s scope</li><li>Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities</li><li>Verify operability of sophisticated product and service configurations within the customer&rsquo;s environment</li><li>Perform advanced systems integration and provide technical expertise to design and implement the solution</li></ul><br>
<b>
Take the first step towards your dream career</b><br>
Every Dell Technologies team member brings something unique to the table. Here&rsquo;s what we are looking for with this role:</div><p><b><br>
Technical Skills</b></p><ul><li>Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar).</li><li>Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs).</li><li>Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats</li><li>Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering).</li><li>Unstructured data &amp; AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns.</li><li>Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns.</li><li>Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA).</li><li>Analytics, BI, and data science</li><li>Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models.</li><li>Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics.</li><li>Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level).</li></ul><p><b>
Consulting Skills</b></p><ul><li>Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers.</li><li>Can translate ambiguous business problems into clear data and analytics use cases.</li><li>Storytelling &amp; communication</li><li>Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences.</li><li>Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics).</li><li>Demo &amp; POC excellence</li><li>Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features.</li><li>Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win.</li><li>Competitive positioning</li><li>Understands the broader data &amp; AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools.</li></ul><p><b>
5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure.</b></p><p><b>
Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas:</b></p><ul><li>Cloud data warehouse or lakehouse migrations</li><li>Enterprise BI modernization/self-service analytics</li><li>GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications</li><li>Real-time or streaming analytics</li><li>Advanced analytics / data science enablement</li><li>Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse).</li></ul><p><b><br>
Who we are</b></p><div>
We believe that each of us has the power to make an impact. That&rsquo;s why we put our team members at the center of everything we do. If you&rsquo;re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we&rsquo;re looking for you.<br>
<br>
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.<br>
<br>
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here<div>
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.</div><b>
Job ID:</b>R288077</div>

Senior Systems Engineer, UDS Data Management - Dubai

Dubai Holding

<div>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   For the Good of Tomorrow
  </strong>
 </p>
 <p>
  Dubai Holding is looking to hire a
  <strong>
   Data Engineer
  </strong>
  . 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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Accountabilities:
  </strong>
 </p>
 <p>
  <strong>
   Data Infrastructure &amp; Pipeline Development
  </strong>
 </p>
 <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>
 <p>
  <strong>
   Technical Guidance &amp; Integration
  </strong>
 </p>
 <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>
 <p>
  <strong>
   Product &amp; Stakeholder Collaboration
  </strong>
 </p>
 <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>
 <p>
  <strong>
   Quality &amp; Process Excellence
  </strong>
 </p>
 <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>
 <p>
  <strong>
   Agile Delivery &amp; Team Collaboration
  </strong>
 </p>
 <ul>
  <li>
   Advocate for agile methodologies and iterative development
  </li>
  <li>
   Collaborate cross-functionally to deliver project outcomes.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who we are looking for:
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Behavioural Competencies
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   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.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   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.
  </strong>
 </p>
</div>


Data Engineer

KEY MAVENS REAL ESTATE DEVELOPMENT

<p>Job Description &ndash; Estimation Engineer</p><p>The Estimation Engineer is responsible for preparing accurate cost estimates and tender documents</p><p>for construction projects, the role involves analyzing project drawings, specifications, and</p><p>requirements to determine project costs and support the tendering and bidding process.</p><p>Key Responsibilities (including but not limited to):</p><p>- Review project drawings, specifications, and tender documents to understand</p><p>project requirements.</p><p>- Prepare detailed cost estimates for materials, labor, equipment, and subcontract</p><p>works.</p><p>- Perform quantity take-offs from drawings and specifications.</p><p>- Prepare Bill of Quantities (BOQ) and cost breakdown structures.</p><p>- Obtain and evaluate quotations from suppliers and subcontractors.</p><p>- Analyze project scope and identify cost risks and value engineering opportunities.</p><p>- Prepare and submit tender documents, bid proposals, and cost summaries.</p><p>- Coordinate with engineering, procurement, and project teams during the tender</p><p>stage.</p><p>- Assist in preparing project budgets and cost control plans.</p><p>- Maintain an updated cost database for materials, labor, and equipment rates.</p><p>- Support contract and commercial teams during negotiations and clarifications.</p><p>- Prepare technical and commercial bid evaluations.</p><p>- Ensure all estimates comply with project specifications, standards, and client</p><p>requirements.</p><p>Qualifications &amp; Skills</p><p>- Bachelor&rsquo;s Degree in Civil Engineering, Construction Management, or related</p><p>field.</p><p>- Experience in construction cost estimation and tendering processes.</p><p>- Strong knowledge of construction materials, methods, and market rates.</p><p>- Proficiency in Excel, estimation software, and quantity take-off tools.</p><p>- Strong analytical, negotiation, and communication skills</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Senior Estimation Engineer

Explore 602+ Database engineer in Dubai this April. Find roles across top companies and apply now to boost your career.