project engineer

business analyst

data scientist

estimation engineer

planning engineer

big data engineer

Hope Global School

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p>Seeking a PySpark Data Engineer to design robust data pipelines, optimise big data workflows, support analytics requirements, collaborate with cross-functional teams, and ensure scalable, reliable data solutions for enterprise-level applications.</p>
</div>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Build and optimise scalable PySpark data pipelines efficiently.</li>
<li>Develop ETL workflows processing large datasets reliably.</li>
<li>Collaborate with data scientists to implement solutions.</li>
<li>Ensure data quality and governance across systems.</li>
<li>Monitor performance and troubleshoot processing issues.</li>
<li>Integrate data from diverse sources with precision.</li>
<li>Maintain secure and compliant data platform operations.</li>
<li>Document technical specifications and implementation details.</li>
</ul><h3 class="jobSectionHeader"><b>Skill &amp; Experience</b></h3>
<ul><li>Strong expertise in Python and PySpark development.</li>
<li>Excellent SQL skills for large data processing.</li>
<li>Knowledge of data warehousing architecture designs.</li>
<li>Experience with streaming technologies like Kafka.</li>
<li>Familiarity with cloud platforms and big data tools.</li>
<li>Ability to optimise Spark jobs for performance.</li>
</ul>
<p><b>Note:</b> Salary is disbursed in the local currency of the country of employment.</p></div>
<br><div></div><div><ul><li><div><div>Date Posted</div>
<div>February 15, 2026</div>
</div></li><div></div><li><div><div>Location</div>
<div><div>Dubai, UAE
</div></div></div></li><div></div><li><div><div>Offered Salary:</div>
 <div>95000 - 125000 / year</div>
</div></li><div></div><li><div><div>Expiration date</div>
<div>August 21, 2028
</div></div></li><div></div><li><div><div>Experience</div>
<div>2 Year
</div></div></li><div></div><li><div><div>Gender</div>
<div>Both
</div></div></li><div></div><li><div><div>Qualification</div>
<div>Bachelor Degree</div></div></li></ul></div>

Pyspark Data Engineer

GSSTech Group

<div><p>We are seeking a highly skilled Data Engineer with strong expertise in <b>PySpark</b> and the <b>Cloudera Data Platform (CDP)</b>. The ideal candidate will design, develop, and maintain scalable data pipelines while ensuring high data quality, performance, and availability across the organisation.</p><p>
This role requires hands-on experience in big data ecosystems, cloud-native technologies, and advanced data processing frameworks. You will collaborate with cross-functional teams to build reliable and high-performance data solutions that drive business insights.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><h3 class="jobSectionHeader"><b>
1. Data Pipeline Development</b></h3><ul>
<li>Design, develop, and maintain scalable ETL/ELT pipelines using PySpark on CDP
</li><li>Ensure data integrity, reliability, and performance optimisation
</li></ul><h3 class="jobSectionHeader"><b>2. Data Ingestion</b></h3><ul>
<li>Develop ingestion frameworks to collect data from relational databases, APIs, streaming sources, and file systems
</li><li>Load structured and unstructured data into Data Lake/Data Warehouse environments
</li></ul><h3 class="jobSectionHeader"><b>3. Data Transformation &amp; Processing</b></h3><ul>
<li>Process, cleanse, and transform large-scale datasets using PySpark
</li><li>Build reusable data processing components
</li></ul><h3 class="jobSectionHeader"><b>4. Performance Optimisation</b></h3><ul>
<li>Tune Spark jobs and Cloudera components for optimal performance
</li><li>Optimise memory, partitioning, and execution plans
</li><li>Reduce ETL runtime and improve cluster efficiency
</li></ul><h3 class="jobSectionHeader"><b>5. Data Quality &amp; Validation</b></h3><ul>
<li>Implement data validation checks and monitoring mechanisms
</li><li>Ensure end-to-end data quality and governance standards
</li></ul><h3 class="jobSectionHeader"><b>6. Automation &amp; Orchestration</b></h3><ul>
<li>Automate workflows using tools such as Apache Oozie, Apache Airflow, or similar orchestration frameworks
</li><li>Maintain CI/CD integration for data pipelines
</li></ul><h3 class="jobSectionHeader"><b>7. Monitoring &amp; Support</b></h3><ul>
<li>Monitor pipeline health and troubleshoot failures
</li><li>Provide production support and continuous improvements
</li></ul><p></p><h3 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h3><ul>
<li>5+ years of experience in Data Engineering
</li><li>Strong hands-on experience in <b>PySpark</b>
</li><li>Experience working on <b>Cloudera Data Platform (CDP)</b>
</li><li>Strong knowledge of Hadoop ecosystem (HDFS, Hive, Impala, YARN)
</li><li>Proficiency in SQL and data modelling concepts
</li><li>Experience with workflow orchestration tools (Airflow, Oozie, etc.)
</li><li>Good understanding of data warehousing concepts
</li><li>Experience with performance tuning and optimisation
</li></ul><p></p><h3 class="jobSectionHeader"><b>Good to Have</b></h3><ul>
<li>Experience with cloud platforms (AWS, Azure, GCP)
</li><li>Knowledge of streaming tools (Kafka, Spark Streaming)
</li><li>Exposure to DevOps practices and CI/CD pipelines
</li><li>Banking/Financial Services domain experience</li></ul></div>

Data Engineer (PySpark)

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next!<br>
<p></p>
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible.<p></p><p><b><br>
Job Description:</b></p><div><p>
Position Overview</p></div><p>
Parsons is seeking a high-potential Data Engineer Graduate Intern to join our Technology and Innovation team. This role is designed for candidates with strong analytical foundations and an interest in building scalable, enterprise-grade data platforms that support operational, engineering, and executive decision-making.</p><p>
As an intern, you will contribute to the design, development, and optimization of cloud-based data pipelines and analytics platforms, primarily within the Microsoft Azure ecosystem. You will work alongside experienced data engineers, architects, and product teams on real delivery programs, gaining exposure to enterprise data standards, governance, and DevOps practices.</p><p><b>
Key Responsibilities</b></p><p><b>
Data Processing</b></p><ul><li>
Work with frameworks like Apache Spark, Hadoop, or Apache Beam to process large datasets efficiently.</li><li>
Support development of batch and streaming data pipelines using Python and distributed processing frameworks such as Apache Spark (Databricks)</li><li>
Assist in processing and transforming structured and semi-structured data at scale</li></ul><p></p><p><b>
ETL/ELT Implementation</b></p><ul><li>
Assist in designing and implementing ETL/ELT processes for data integration and transformation.</li><li>
Contribute to the design and implementation of ETL/ELT workflows using Azure Data Factory, Databricks, or equivalent tools</li><li>
Support data ingestion from multiple sources (databases, APIs, files, cloud storage)</li></ul><p></p><p><b>
Cloud Integration &amp; Platform (Microsoft Azure)</b></p><ul><li>
Work with <b>Azure-native data services</b>, including:<ul><li>
Azure Data Factory</li><li>
Azure Synapse Analytics</li><li>
Azure Data Lake Storage (ADLS Gen2)</li><li>
Azure Databricks</li></ul></li><li>
Utilize cloud services such as Azure (Data Factory, Synapse, Data Lake), AWS (S3, Redshift, Glue), or Google Cloud Platform (BigQuery, Dataflow) for data storage and processing.</li><li>
Support secure configuration of cloud resources, access controls, and data storage</li></ul><p></p><p><b>
Database Management</b>:</p><ul><li>
Manage and query relational databases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).</li><li>
Query and manage <b>relational databases</b> (Azure SQL, SQL Server, PostgreSQL, MySQL)</li><li>
Support analytics and reporting use cases using <b>modern data warehouse / lakehouse architectures</b></li></ul><p></p><p><b>
Data Warehousing</b>:</p><ul><li>
Support the development and optimization of modern data warehouse solutions like Databricks, Snowflake, Redshift, or BigQuery.</li></ul><p><b>
Pipeline Orchestration</b></p><ul><li>
Build and manage workflows using orchestration tools like Apache Airflow, Prefect, or Luigi.</li><li>
Assist with workflow orchestration using tools such as Azure Data Factory pipelines or Apache Airflow (where applicable)</li><li>
Support scheduling, monitoring, and failure handling of data pipelines</li></ul><p><b>
Big Data Tools</b></p><ul><li>
Work with distributed data systems and storage solutions like HDFS or cloud-native equivalents.</li></ul><p><b>
Version Control</b></p><ul><li>
Collaborate with the team using Git for code versioning and management.</li></ul><p><b>
Debugging and Optimization</b></p><ul><li>
Diagnose and resolve performance issues in data systems and optimize database queries.</li></ul><p><b>
DevOps, Quality &amp; Optimization</b></p><ul><li>
Collaborate using Git-based workflows (Azure DevOps Repos or GitHub)</li><li>
Support data quality checks, performance tuning, and query optimization</li><li>
Assist with documentation of data pipelines, schemas, and system design</li></ul><p></p><div><p>
Technical Requirements</p></div><p><b>
Skill Area</b></p><p><b>
Requirements</b></p><p><b>
Programming</b></p><ul><li>
Proficiency in Python- Experience with scripting languages for automation</li></ul><ul><li>
Solid understanding of <b>SQL</b> for data querying and transformation</li></ul><p><b>
Data Processing Frameworks</b></p><ul><li>
Hands-on experience with Apache Spark, Hadoop, or Apache Beam- Familiarity with ETL/ELT processes</li><li>
Understanding of ETL / ELT concepts and data pipeline design</li></ul><p><b>
Database and Querying</b></p><ul><li>
Strong understanding of SQL- Experience with relational databases (PostgreSQL, MySQL, Oracle)</li><li>
Experience with NoSQL databases (MongoDB, Cassandra, DynamoDB)</li></ul><p><b>
Cloud Platforms</b></p><ul><li>Familiarity with <b>Microsoft Azure data services</b></li></ul><ul><li>
Azure Data Factory</li><li>
Azure Synapse Analytics</li><li>
Azure Data Lake</li><li>
Azure Databricks</li></ul><p>
(Data Factory, Synapse, Data Lake)- AWS (S3, Redshift, Glue</p><ul><li>
Awareness of Azure security and identity concepts (RBAC, managed identities) is advantageous</li></ul><p><b>
Data Warehousing</b></p><ul><li>Experience with Databricks, Snowflake, Redshift, or BigQuery</li></ul><p><b>
Data Pipelines and Orchestration</b></p><ul><li>Knowledge of tools like Apache Airflow, Prefect, or Luigi</li></ul><p><b>
Big Data Tools</b></p><ul><li>Experience with distributed data systems and storage solutions like HDFS</li></ul><p><b>
Version Control</b></p><ul><li>Proficiency with Git for code versioning and collaboration</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Exposure to <b>Azure DevOps</b> or <b>GitHub Actions</b></li><li>
Familiarity with Agile / Scrum delivery environments</li><li>
Interest in enterprise analytics, cloud platforms, and data governance</li><li>
Awareness of data privacy and governance principles (e.g., GDPR concepts)</li><li><b>
Note:</b> Multi-cloud exposure (AWS / GCP) is beneficial but <b>not required</b>. The primary environment is <b>Microsoft Azure</b>.</li><li><b>
Experience</b>: Practical exposure to building and optimizing scalable data pipelines, batch and real-time data processing.</li><li><b>
Debugging</b>: Familiarity with diagnosing and resolving performance issues in data systems.</li><li><b>
Data Governance</b>: Understanding of data privacy regulations (e.g., GDPR, CCPA) and experience implementing data quality checks and access controls.</li><li><b>
Certifications</b> (Optional but Valuable):<ul><li>
AWS Certified Data Analytics &ndash; Specialty</li><li>
Google Professional Data Engineer</li><li>
Microsoft Azure Data Engineer Associate</li><li>
Databricks Certified Data Engineer Associate</li></ul></li></ul><p></p><div><p>
Soft Skills</p></div><ul><li><b>
Problem-Solving</b>: Ability to troubleshoot complex data and system issues independently.</li><li><b>
Communication</b>: Collaborate with data analysts, scientists, and engineers to understand data needs and deliver solutions.</li><li><b>
Documentation</b>: Document data workflows, system designs, and troubleshooting procedures effectively.</li><li><b>
Team Collaboration</b>: Experience working in cross-functional teams using Agile or similar methodologies.</li></ul><p></p><div><p>
Education</p></div><ul><li>
Bachelor&rsquo;s degree (or final-year student) in <b>Computer Science, Data Engineering, Information Systems, Engineering, or a related field</b></li><li>
Relevant projects, internships, or practical experience may substitute for formal education</li></ul><p></p><div><p>
Learning Opportunities</p></div><ul><li>
Hands-on experience building data pipelines in a <b>Microsoft Azure enterprise environment</b></li><li>
Exposure to <b>lakehouse architectures, analytics platforms, and cloud security practices</b></li><li>
Practical experience with Databricks, Azure Data Factory, and Synapse</li><li>
Mentorship from senior data engineers and architects working on live programs</li><li>
Insight into how data engineering supports large-scale infrastructure, engineering, and program delivery</li></ul><p></p><p><b>
Duration</b></p><ul><li>
Internship duration: 3 to 6 months with possibility of extension.</li></ul><p></p>
Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.<p></p><p>
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!</p><p></p><div>
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.</div></div>
<br><div><div><div>COMPETITIVE BENEFIT OFFERINGS</div></div><div><div><div><br>
Financial Wellness</div><div><br>
We care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.</div></div><div><div>
Work Life Harmony</div><div><br>
Balance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.</div></div><div><div>
Career Development</div><div><br>
We are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.</div></div><div><div><br>
Veteran Support</div><div><br>
We provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.</div></div><div><div>
Mind &amp; Body</div><div><br>
At Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.</div></div><div><div>
Health</div><div><br>
Health is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.</div></div></div></div><p></p>

Data Warehouse Engineer - Intern

Heidelberg Materials Trading

<div>
 <p>
  Heidelberg Materials Trading is the international trading arm of Heidelberg Materials, one of the world&rsquo;s largest building materials companies, handling overseas drybulk product exports and imports across global markets. We are looking for a talented individual to join our IT team in our Dubai Office as:
 </p>
 <p>
 </p>
 <p>
  <strong>
   Data Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  This role sits at the centre of a greenfield transformation initiative, where we are replacing legacy reporting workflows with a modern, Microsoft first cloud data platform. You will work directly with IT and business stakeholders to connect our front office (Salesforce) and back office (JD Edwards ERP) systems into a unified analytics layer powering business critical Power BI dashboards. The role requires a hands on technical developer who builds, and owns data pipelines end-to-end, and can operate pragmatically within a Microsoft Fabric&ndash;oriented environment while proposing justified alternatives when needed.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Lead the migration of reporting from QlikSense to Power BI, ensuring accurate replication of existing logic, KPIs, and reporting workflows.
  </li>
  <li>
   Design, build, and maintain scalable Azure SQL&ndash;based data pipelines to support analytics, reporting, and operational decision making.
  </li>
  <li>
   Build and optimise Power BI data models, reusable datasets, and semantic layers following best practice modelling principles.
  </li>
  <li>
   Integrate data from JD Edwards (ERP), Salesforce (CRM), and other business systems, ensuring accuracy, consistency, and reliability across the reporting lifecycle.
  </li>
  <li>
   Reverse engineer manual Excel-based workflows and translate them into automated SQL or Python based pipelines to improve efficiency and reliability.
  </li>
  <li>
   Implement data validation, quality checks, monitoring, and performance optimisation across the data platform and reporting layers.
  </li>
  <li>
   Deliver Power BI training for business users and create documentation, dashboards, and best practice materials.
  </li>
  <li>
   Work closely with cross-functional teams to understand business requirements and translate them into scalable, maintainable data and reporting solutions.
  </li>
  <li>
   Contribute to data governance, security standards, and consistent documentation practices.
  </li>
  <li>
   Support UAT cycles, phased go lives, and iterative enhancements to reporting processes.
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  </li>
  <li>
   Minimum 3 years of hands‑on experience in data engineering or data platform development. - Minimum 6 years for senior consideration.
  </li>
  <li>
   Strong SQL skills with experience working on relational databases and transformation logic.
  </li>
  <li>
   Hands‑on experience with Power BI (DAX, data modelling, row‑level security, performance optimisation).
  </li>
  <li>
   Experience developing ETL/ELT pipelines using Azure Data Factory, Azure Synapse, or Microsoft Fabric (experience with at least one is required).
  </li>
  <li>
   Experience integrating ERP or CRM systems such as JD Edwards, SAP, or Salesforce, with a strong advantage for candidates familiar with these architectures.
  </li>
  <li>
   Solid understanding of transactional vs analytical modelling and modern data warehousing approaches.
  </li>
  <li>
   Comfortable operating as a hands‑on builder, capable of developing, testing, and shipping data pipelines independently.
  </li>
  <li>
   Strong communication skills with the ability to translate technical detail into clear business language.
  </li>
  <li>
   Able to work within a Microsoft‑first environment while recommending alternative tools when supported by a clear business case.
  </li>
  <li>
   Exposure to Microsoft Power Platform (Power Automate, Power Apps) is an advantage.
  </li>
  <li>
   Experience in trading, logistics, or supply chain environments is beneficial.
  </li>
  <li>
   Familiarity with Azure‑based cloud data architectures is preferred.
  </li>
 </ul>
 <p>
 </p>
 <p>
 </p>
 <p>
  <strong>
   We thank all applicants for their interest, but only shortlisted candidates will be contacted.
  </strong>
 </p>
 <p>
  <strong>
   All applications will be kept strictly confidential.
  </strong>
 </p>
</div>


Data Engineer

Moreton Capital Partners

<div><h3 class="jobSectionHeader"><b>Data Engineer - Systematic Commodities Hedge Fund</b></h3><p>
Moreton Capital Partners is a systematic commodities hedge fund preparing to launch live trading across global futures markets. Our research and trading systems rely on robust, scalable data infrastructure. We are looking for Data Engineers to help us design, build, and optimize that infrastructure alongside senior engineers and the CIO.</p><p></p><p><b>
Key Responsibilities</b><br>
You&rsquo;ll work on projects such as:</p><ul>
<li>
Designing and maintaining data pipelines to collect, clean, and transform market and alternative datasets (e.g., futures, options, weather, satellite, fundamentals).</li>
<li>Building ETL workflows using Python (pandas/polars) and orchestration tools such as Airflow or Prefect.</li>
<li>Structuring data warehouses and APIs (SQL, Snowflake, or similar) for efficient query and analysis.</li>
<li>Developing data quality and monitoring systems for latency, completeness, and integrity.</li>
<li>Assisting in cloud deployments (AWS, Docker) and automation for data ingestion and versioning.</li>
<li>Collaborating with Quant Researchers to make research datasets reproducible and production-ready.</li>
<li>Contributing to internal documentation and code standards to ensure long-term maintainability.</li>
</ul><p><b>
Requirements</b></p><ul><li>
Strong programming skills in Python and familiarity with SQL.</li></ul><ul>
<li>Understanding of data structures, algorithms, and software engineering best practices.</li>
<li>Interest in large-scale data systems, cloud computing, or distributed processing.</li>
<li>Self-starter with curiosity and attention to detail.</li>
</ul><p></p><p>
Bonus points for:</p><br>
<ul>
<li>
Experience with Airflow, Docker, or AWS.</li>
<li>Familiarity with Snowflake, Polars, or Pandas workflows.</li>
<li>Exposure to financial or time-series data.</li>
<li>Understanding of CI/CD, version control, or testing frameworks.</li>
</ul><p><b>
Benefits</b></p><ul>
<li>
Real-world impact: Help build data systems that directly feed institutional-grade trading research and live execution.</li>
<li>Technical depth: Gain hands-on experience with distributed data pipelines, cloud infrastructure, and production data engineering.</li>
<li>Mentorship: Work closely with senior engineers, the CIO, and Quant Researchers on live projects.</li>
<li>Collaborative culture: Inclusive, high-trust team that values initiative and learning.</li>
<li>Compensation: Competitive stipend/salary based on experience.</li></ul></div>

Data Engineer - Systematic Commodities Hedge Fund

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

Snowflake

<div><div><p>Snowflake is about empowering enterprises to achieve their full potential &mdash; and people too. With a culture that&rsquo;s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology &mdash; and careers &mdash; to the next level.</p><p><b>
Senior Solution Engineer: Accelerate the AI Data Cloud</b></p><p></p><p>
We are looking for a <b>Senior Solution Engineer</b> who is accustomed to solving customer&rsquo;s most complex problems and closing large deals. In this role you will work directly with the accounts sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about driving the <b>AI Data Cloud</b> adoption, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences and bridging the gap between audiences when needed.</p><p></p><p><b>
YOUR IMPACT (IN THIS ROLE YOU WILL GET TO):</b></p><p></p><ul><li><p>
Present Snowflake technology and vision, focusing on the <b>AI Data Cloud</b> and its capabilities, to executives and technical contributors at prospects and customers.</p></li><li><p>
Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation.</p></li><li><p>
Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.</p></li><li><p>
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake&rsquo;s products and marketing.</p></li></ul><p></p><p><b>
YOUR CREDENTIALS (ON DAY ONE, WE WILL EXPECT YOU TO HAVE):</b></p><p></p><ul><li><p>
5-10+ years of industry pre-sales experience.</p></li><li><p>
Outstanding presenting skills and executive presence to engage technical, business and executive audiences, whether impromptu on a whiteboard or using presentations and demos.</p></li><li><p>
Strong understanding and practical experience with value-based selling and sales methodologies / frameworks (e.g., MEDDPIC/MEDDIC) to drive complex deals.</p></li><li><p>
Broad range of experience within Data platforms, analytics, and cloud technologies, including deep knowledge of data warehousing, data lakes, and lake house architectures.</p></li><li><p>
Proven ability to discuss and demonstrate the value of Generative AI and Machine Learning (ML) use cases for enterprises.</p></li><li><p>
Familiarity with core data concepts such as data modeling, data governance, and data engineering best practices.</p></li><li><p>
Deep hands-on expertise with Python and SQL.</p></li><li><p>
University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.</p></li><li><p>
Experience in the UAE market with preference already being based there.</p></li><li><p>
Arabic fluency is highly desirable / nice to have.</p></li></ul><p></p><p><b>
OUR VALUES. OUR CULTURE.</b></p><p></p><p>
We are customer-obsessed. We lead with integrity and honesty. We believe in being great teammates, embracing feedback, and embodying the <b>Snowflake values</b> in every interaction. We work to ensure data is accessible, usable, and valuable to everyone.</p><p><b>
If this sounds like the high-stakes, high-reward role you were made for, seize the moment. Apply now and join us in building the AI Data Cloud for the region!</b></p><p>
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.</p><p>
How do you want to make your impact?</p><p>
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com</p></div></div>

Senior Solution Engineer - South African Market

Explore 1715+ Big data engineer in Dubai this February. Find roles across top companies and apply now to boost your career.