data quality 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

Coca-Cola HBC

<div>
 <p>
  <strong>
   Department:
  </strong>
  Group Data, Insights &amp; Artificial Intelligence (DIAI)
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Egypt
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Data Quality Engineer, you will play a key role in the design, build, configuration, monitoring and continuous improvement of Coca-Cola Hellenic&rsquo;s Data Quality Management products, with a primary focus on the Data Control Center (DCC).
 </p>
 <p>
  You will work closely with the Data Quality &amp; Standards Product Manager, Business Stakeholders, Business Unit Data Stewards and IT partners (DTPS), ensuring that data quality controls, monitoring and reporting enable reliable and trusted data across the organization.
 </p>
 <p>
  This is a hands-on data engineering role requiring strong technical skills in SQL, PySpark and Azure-based data platforms, combined with full ownership of deliverables from design to production support and the flexibility to handle ad-hoc requests and parallel priorities while translating business requirements into scalable and automated data quality solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   YOUR NEW KEY RESPONSIBILITIES
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Quality Controls (DCC)
  </strong>
 </p>
 <p>
  &bull; Build, configure and maintain Data Quality controls in the Data Control Center (DCC).
 </p>
 <p>
  &bull; Translate business requirements into data quality rules, including logic definition, thresholds, exception handling and reduction of false positives.
 </p>
 <p>
  &bull; Ensure DQ controls are aligned with agreed business definitions and standards.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Monitoring, Operations &amp; Issue Resolution
  </strong>
 </p>
 <p>
  &bull; Monitor DQ performance and ensure stable DCC operations, including regular refresh cycles and system reliability.
 </p>
 <p>
  &bull; Troubleshoot failed checks, investigate data issues and perform root-cause analysis in collaboration with relevant stakeholders.
 </p>
 <p>
  &bull; Support incident resolution and contribute to continuous operational improvements.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Continuous Improvement &amp; Enhancement
  </strong>
 </p>
 <p>
  &bull; Implement improvements to existing DQ checks and contribute to the continuous enhancement of DCC capabilities.
 </p>
 <p>
  &bull; Identify opportunities to improve automation, scalability and reusability of controls and monitoring processes.
 </p>
 <p>
  &bull; Identify opportunities to automate monitoring and reduce manual effort for stakeholders.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Reporting &amp; Dashboards
  </strong>
 </p>
 <p>
  &bull; Develop and maintain DQ dashboards and scorecards, enabling visibility of DQ KPIs, trends and drilldowns.
 </p>
 <p>
  &bull; Support stakeholders with insights and reporting to track performance and drive quality improvement actions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Standards Operationalization
  </strong>
 </p>
 <p>
  &bull; Support data standards operationalization by ensuring alignment between published standards and DQ checks.
 </p>
 <p>
  &bull; Support adoption and compliance visibility by enabling reporting and transparency on standards adherence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Collaboration &amp; Delivery Support
  </strong>
 </p>
 <p>
  &bull; Work closely with the Product Manager and business stakeholders to clarify requirements, validate solutions and ensure high usability and adoption.
 </p>
 <p>
  &bull; Collaborate with DTPS and vendors to deliver end-to-end solutions, including integration dependencies and technical enablement.
 </p>
 <p>
  &bull; Run demos and workshops when needed to support rollout, stakeholder understanding and adoption.
 </p>
 <p>
  Testing, Release &amp; Documentation
 </p>
 <p>
  &bull; Support release and testing activities, including UAT support and regression testing.
 </p>
 <p>
  &bull; Maintain basic documentation of implemented DQ checks, logic, definitions and changes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ARE THESE YOUR SECRET INGREDIENTS?
  </strong>
 </p>
 <p>
  &bull; 3+ years in data engineering / analytics engineering / data quality engineering
 </p>
 <p>
  &bull; Strong SQL and Python for scalable data validation and monitoring
 </p>
 <p>
  &bull; Experience working with Databricks and modern data pipelines (ADF or similar)
 </p>
 <p>
  &bull; Strong analytical and problem-solving mindset with attention to detail and quality.
 </p>
 <p>
  &bull; Ability to translate business requirements into technical implementation and measurable outcomes.
 </p>
 <p>
  &bull; Comfortable working across multiple stakeholders in a cross-functional environment.
 </p>
 <p>
  &bull; Strong communication skills and ability to explain technical topics to non-technical audiences.
 </p>
 <p>
  &bull; Ownership mindset: proactive, reliable and continuously improving solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   REQUIRED TECHNICAL SKILLS
  </strong>
 </p>
 <p>
  &bull; SQL
 </p>
 <p>
  &bull; Python
 </p>
 <p>
  &bull; PySpark
 </p>
 <p>
  &bull; Azure Databricks
 </p>
 <p>
  &bull; Azure Data Factory
 </p>
 <p>
  &bull; Power BI
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   NICE TO HAVE
  </strong>
 </p>
 <p>
  &bull; Power Platform (Power Automate, etc.)
 </p>
 <p>
  &bull; Microsoft Fabric
 </p>
 <p>
  &bull; Copilot Studio
 </p>
 <p>
  &bull; Experience working in a Data Mesh framework and/or domain data product mindset
 </p>
 <p>
  &bull; Good awareness of key SAP MDG, MM, S/4HANA domains
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOUR NEW TEAM:
  </strong>
 </p>
 <p>
  We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 </p>
 <p>
  We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 </p>
 <p>
  We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be. And although we have so much to be proud of, we always stay humble. We believe the real magic happens - for us and for you - when we OPEN UP.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
  </strong>
 </p>
 <p>
  At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 </p>
 <p>
  <br/>
 </p>
</div>


Data Control & Data Quality Engineer

The Coca-Cola Company

<div><div><div><div><div><div><div><div>Egypt
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><div><div><div><div><div><div><div><b>Department:</b> Data, Insights &amp; Artificial Intelligence (DIAI)</div><div><b>
Location: </b>Egypt</div><div></div><div><br>
As a Data Quality Engineer, you will play a key role in the design, build, configuration, monitoring and continuous improvement of Coca-Cola Hellenic&rsquo;s Data Quality Management products, with a primary focus on the Data Control Center (DCC).</div><div>
You will work closely with the Data Quality &amp; Standards Product Manager, Business Stakeholders, Business Unit Data Stewards and IT partners (DTPS), ensuring that data quality controls, monitoring and reporting enable reliable and trusted data across the organization.</div><div>
This is a hands-on data engineering role requiring strong technical skills in SQL, PySpark and Azure-based data platforms, combined with full ownership of deliverables from design to production support and the flexibility to handle ad-hoc requests and parallel priorities while translating business requirements into scalable and automated data quality solutions.</div><div></div><div><b><br>
YOUR NEW KEY RESPONSIBILITIES</b></div><div><b>
Data Quality Controls (DCC)</b></div><ul><li>Build, configure and maintain Data Quality controls in the Data Control Center (DCC).</li><li>Translate business requirements into data quality rules, including logic definition, thresholds, exception handling and reduction of false positives.</li><li>Ensure DQ controls are aligned with agreed business definitions and standards.</li></ul><div></div><div><b><br>
Monitoring, Operations &amp; Issue Resolution</b></div><ul><li>Monitor DQ performance and ensure stable DCC operations, including regular refresh cycles and system reliability.</li><li>Troubleshoot failed checks, investigate data issues and perform root-cause analysis in collaboration with relevant stakeholders.</li><li>Support incident resolution and contribute to continuous operational improvements.</li></ul><div></div><div><b><br>
Continuous Improvement &amp; Enhancement</b></div><ul><li>Implement improvements to existing DQ checks and contribute to the continuous enhancement of DCC capabilities.</li><li>Identify opportunities to improve automation, scalability and reusability of controls and monitoring processes.</li><li>Identify opportunities to automate monitoring and reduce manual effort for stakeholders.</li></ul><div></div><div><b><br>
Reporting &amp; Dashboards</b></div><ul><li>Develop and maintain DQ dashboards and scorecards, enabling visibility of DQ KPIs, trends and drilldowns.</li><li>Support stakeholders with insights and reporting to track performance and drive quality improvement actions.</li></ul><div></div><div><b><br>
Data Standards Operationalization</b></div><ul><li>Support data standards operationalization by ensuring alignment between published standards and DQ checks.</li><li>Support adoption and compliance visibility by enabling reporting and transparency on standards adherence.</li></ul><div></div><div><b><br>
Collaboration &amp; Delivery Support</b></div><ul><li>Work closely with the Product Manager and business stakeholders to clarify requirements, validate solutions and ensure high usability and adoption.</li><li>Collaborate with DTPS and vendors to deliver end-to-end solutions, including integration dependencies and technical enablement.</li><li>Run demos and workshops when needed to support rollout, stakeholder understanding and adoption.</li></ul><div>
Testing, Release &amp; Documentation</div><ul><li>Support release and testing activities, including UAT support and regression testing.</li><li>Maintain basic documentation of implemented DQ checks, logic, definitions and changes.</li></ul><div></div><div><b><br>
ARE THESE YOUR SECRET INGREDIENTS?</b></div><ul><li>3+ years in data engineering / analytics engineering / data quality engineering</li><li>Strong SQL and Python for scalable data validation and monitoring</li><li>Experience working with Databricks and modern data pipelines (ADF or similar)</li><li>Strong analytical and problem-solving mindset with attention to detail and quality.</li><li>Ability to translate business requirements into technical implementation and measurable outcomes.</li><li>Comfortable working across multiple stakeholders in a cross-functional environment.</li><li>Strong communication skills and ability to explain technical topics to non-technical audiences.</li><li>Ownership mindset: proactive, reliable and continuously improving solutions.</li></ul><div></div><div><div><b><br>
REQUIRED TECHNICAL SKILLS</b></div><ul><li>SQL</li><li>Python</li><li>PySpark</li><li>Azure Databricks</li><li>Azure Data Factory</li><li>Power BI</li></ul><div></div><div><b><br>
NICE TO HAVE</b></div><ul><li>Power Platform (Power Automate, etc.)</li><li>Microsoft Fabric</li><li>Copilot Studio</li><li>Experience working in a Data Mesh framework and/or domain data product mindset</li><li>Good awareness of key SAP MDG, MM, S/4HANA domains</li></ul></div><div></div><div><b><br>
ABOUT YOUR NEW TEAM:</b></div><div>
We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.</div><div>
We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.</div><div>
We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.</div><div>
And although we have so much to be proud of, we always stay humble. We believe the real magic happens - for us and for you - when we OPEN UP.</div><div></div><div><b><br>
AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE</b></div><div>
At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.</div></div><br>
<div></div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Equal opportunity employer</div>
</div></div><div><div><div>IT Equipment</div>
</div></div><div><div><div>Medical Insurance</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Supportive team</div>
</div></div><div><div><div>Volunteering Opportunities</div>
</div></div><div><div><div>Wellbeing program</div></div></div></div></div></div></div>

Kuehne+Nagel

<div><div><div><div><b>It's more than a job</b></div></div><p>
When you work in Freight Logistics and Operations at Kuehne+Nagel, you play a key role in optimising processes and ensuring that inventory and shipments move efficiently. But that is not all. Your work also helps ensure that vital medicines reach patients on time and supports other essential deliveries, from wind turbines to semiconductors. At Kuehne+Nagel, our contribution counts in more ways than we imagine.</p><div><div><div><div>
&lrm;</div>
</div><div><p>The role of Data Quality Engineer is vital for digital transformation journey of Kuehne + Nagel Integrated Logistics. The Data Specialist enables data centric supply chain management services, fulfilling customer's expectation on visibility, integration, resilience, analytics and sustainability. Data Quality Engineer drives the Kuehne + Nagel Integrated Logistics functions to become and think data centric. This includes adherence to defined data standards, supporting data driven actions end-to-end, collaboration with other functions of Kuehne + Nagel Integrated logistics, such as Operations, Excellence Managers, Business Analysts, global and functional process owners, head of data management.</p><p>
The role is essential during customer onboarding to work with supply chain partners to identify data requirements, find resolutions on how to deal with data gaps, and within Business as Usual (BAU) to maintain data quality, to drive root cause analysis and propose/implement solutions in case of data quality issues.</p></div></div><div><div><div><b>
How you create impact</b></div>
</div><div><p>Data Management &amp; Business Alignment</p><ul><li>
Define and harmonize key business data elements, standards, and quality rules with stakeholders.</li><li>
Support onboarding projects, validate data, and manage change requests.</li><li>
Ensure business users understand data impacts and best practices.</li></ul><p>
Data Operations &amp; Quality</p><ul><li>
Optimize internal and external data flows; ensure accurate, complete master and transactional data.</li><li>
Collaborate with ETL teams to resolve data quality issues and analyze root causes.</li></ul><p>
Automated Processes &amp; Monitoring</p><ul><li>
Enable accurate, automated order processing (EDI/API) and shipment planning.</li><li>
Ensure correct master/transactional data for event tracking, milestone management, and operational KPIs.</li></ul><p>
Customer Service &amp; Continuous Improvement</p><ul><li>
Support non-conformity resolution and corrective actions.</li><li>
Drive performance improvement through reliable data for KPIs, freight settlement, and digital product outputs.</li></ul></div></div><div><div><div><b>
What we would like you to bring</b></div>
</div><div><ul><li>Minimum 4 - 6 years of relevant experience.</li><li>
Proven background in data quality management and data stewardship.</li><li>
Professional level of Excel (incl. VBA), advanced level in BI tools (e.g. Power BI, Tableau etc.), good SQL (combination of these will be an advantage).</li><li>
Strong analytical skills, attention to details with a systematic and methodical approach to your work.</li></ul></div></div><div><div><div><b>
What's in it for you</b></div>
</div><div><p>At Kuehne+Nagel, you&rsquo;ll be part of a global logistics leader that believes in creating real impact&mdash;on business, on customers, and on careers. Here&rsquo;s what you can look forward to:</p><ul><li>
Global Exposure: Step into a world of international opportunities with a presence in 100+ countries.</li><li>
People-Centric Culture: Join a team where your voice matters and people genuinely care.</li><li>
Learning &amp; Development: Grow with us&mdash;personally and professionally&mdash;through world-class training and career pathways.</li><li>
Innovation &amp; Sustainability: Be part of a future-focused company driving real change in logistics and the planet.</li><li>
Rewards &amp; Recognition: Get rewarded for your passion, performance, and potential.</li><li>
Stability with Agility: Enjoy the best of both worlds&mdash;a trusted global brand with a startup spirit.</li></ul></div></div></div><div><div><b>
Who we are</b></div></div><p>
Logistics shapes everyday life - from the goods we consume to the healthcare we rely on. At Kuehne+Nagel, your work goes beyond logistics; it enables both ordinary and special moments in the lives of people around the world.</p><p>
As a global leader with a strong heritage and a vision to move the world forward, we offer a safe, stable environment where your career can make a real difference. Whether we help deliver life-saving medicines, develop sustainable transportation solutions or support our local communities, your career will contribute to more than you can imagine.</p></div>
<div><p>Contact
 </p><p>Kuehne+Nagel Recruitment Team
 </p><p>-</p></div></div>

Integrated Logistics Sr. Data Quality Engineer

<div><h5 class="jobSectionHeader"><b>Job Purpose
</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.
</p><p>As a Data Quality &amp; Automation Engineering Lead 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 leading and championing quality practices along with designing and implementing data quality and automation platforms. They will also provide support and maintenance 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 with product owners, analysts, software engineers and architects to drive understanding of technical landscape and context of deliveries &amp; refine complex functional and non-functional requirements and translate to acceptance tests.
</li><li>Support in building the technical design by contributing in the analysis of data application and ensuring quality related features are baked into the solution.
</li><li>Work on and guide engineers 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>Drive &amp; mentor creation of 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 components &amp; liaise with teams across the organization to manage cross dependencies for generating / mocking test data for exploratory analysis and running tests.
</li><li>Build platforms for automated tests / jobs of moderate to high scope and complexity across all stages of the data pipeline. Conduct code reviews to check for good coding &amp; design practices and adherence to published coding standards and guidelines.
</li><li>Build and enhance data quality rules and platforms for observability across the data pipeline.
</li><li>Perform and support team debugging complex issues, resolve blockers.
</li><li>Advocate and perform 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>Advocate and participate 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>5+ years of experience in Information Technology Data Engineering with focus on quality &amp; automation.
</li><li>Degree or Honours (12+3 or equivalent) in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering. Specialization or electives in a Data &amp; Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence)
</li><li>Minimum 4+ 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>Worked in a team leadership role building culture and practices around quality and developing trustworthy data assets.
</li><li>Seasoned in building data quality platforms for highly complex data architectures performing automated checks running in a CI and in production for data observability.
</li><li>Experienced in leading team to build enablers / practices to identify quality issues across complex data pipelines running on big data technologies and defining rules for validating health of the data.
</li><li>Proficient in at least 1 language (Scala / Python) for building ETL jobs in a distributed computing environment.
</li><li>Strong SQL querying skills is required.
</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>Good understanding of data architecture concepts such as data modelling, Big Data storage, and dimensional modelling.
</li><li>Good experience of working with jobs in data pipelines and define metrics / measures to ensure correctness of the data.
</li>Experience with batch and real-time data ingestion/integration tools and technologies handling massive quantities of data (structured and unstructured).<br>
<li>
</li></ul><p></p><br>
<p><b>Knowledge/Skills:
</b></p><ul><li>Can collaborate with multiple teams / programs to deliver solutions interactively.
</li><li>Experienced with leading a team of engineers to achieve product and business goals and displays a positive attitude.
</li><li>Can mentor engineers and provide technical leadership in designing solutions.
</li><li>Strong ability to conduct data analysis (e.g. source system identification, data dictionary / metadata collection, data profiling, source-to-target mapping).
</li><li>Self-starter and has passion for exploring and learning new technologies, especially those in the Enterprise Data &amp; Analytics space.
</li><li>Team player; able to collaborate with others to remove blockers, solve complex design problems and debug/resolve issues.
</li><li>Strong oral and written communication skills with demonstrable experience communicating cross-functionally with architects and product owners in formal and informal settings.
</li><li>Strong organizational, planning, and follow-up skills and ability to hold others accountable.
</li><li>Strong people management skills with a proven ability to hire and grow teams of Data Quality engineers.
</li><li>Exposure to Spark is highly desirable.
</li>Airline industry experience is nice-to-have.<br>
<li>
</li></ul><p></p><br>
<div><b>Key Technologies/Tools
</b></div><div>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>
</div><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>

Lead Data Quality Engineer

Fusemachines

<div><p><b>About Fusemachines</b></p><p>
Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.</p><p>
Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.</p><p><b>
Type: Remote, Full-time</b></p><p><b><br>
Job Description:</b></p><p>
This is a role responsible for designing, building, and maintaining the <b>automated testing frameworks</b> and <b>Python SDKs</b> required for data integration, parity verification, and user accessibility in the <b>Industrial IoT</b> / <b>Smart Buildings</b> domain.</p><p>
We are seeking a <b>Senior Data Engineer</b> with strong <b>Python</b> and <b>PySpark</b> skills, and proven implementation of automated <b>Data Quality</b> frameworks and <b>CI/CD</b> pipelines, delivering Data and Analytics products using Agile methodology. The ideal candidate will possess strong technical, analytical, and interpersonal skills.</p><p><b>
Qualification / Skill Set Requirement:</b></p><ul><li>
5+ years of hands-on data engineering experience with deep expertise in the Azure ecosystem.</li><li>
Expert Python skills (building Libraries/SDKs, Py4J).</li><li>
Strong experience with PySpark and DataFrames.</li><li>
Experience with Automated Testing frameworks (PyTest, JUnit) for data pipelines.</li><li>
Experience with Data Quality tools (Great Expectations, Deequ).</li><li>
Deep understanding of Apache Spark Internals (Catalyst Optimizer, Logical Plans).</li><li>
Experience with Databricks and Delta Lake optimization.</li><li>
Solid understanding of SDLC and Agile methodologies with hands-on experience in Azure DevOps, GitHub, CI/CD, and artifact management.</li><li>
Skilled in data modeling, data design, and data warehousing solutions on Azure Databricks.</li><li>
Knowledge of data governance, and security best practices within Azure (AD, NSG, encryption, compliance).</li><li><b>
Certifications preferred:</b> Azure Fundamentals, Azure Data Engineer Associate, Databricks Certified Data Engineer Professional and Azure Solutions Architect Expert (nice to have).</li></ul><p><b>
Responsibilities</b></p><ul><li>
Implement scalable and efficient data solutions on Spark and Flink.</li><li>
Develop a Python SDK that wraps core libraries for use in Jupyter Notebooks by data scientist and analyst..</li><li>
Build automated Parity Test Suite: CI/CD pipeline that runs queries against &quot;Golden Datasets&quot; in both Spark and Flink and asserts equality.</li><li>
Implement Data Quality (DQ) Rules configuration: Defining thresholds for &quot;Completeness&quot; and &quot;Validity&quot; that can be enforced.</li><li>
Manage and optimize Azure and Databricks resources, for performance, reliability, and cost-efficiency.</li><li>
Transform, clean, and prepare data using SQL, Python and Java.</li><li>
Monitor and fine-tune workloads and pipelines for optimal performance and reliability.</li><li>
Maintain CI/CD pipelines.</li><li>
Maintain clear documentation of solutions, configurations, and workflows.</li><li>
Actively participate in Agile team activities and continuous improvement initiatives.</li><li>
Promote and enforce data engineering best practices, including data governance, security, and data quality.</li></ul><p><i>
Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.</i></p><p>
</p><p>7JbVFNrvHJ</p></div>

Sr. Databricks Azure Data Engineer

Systems Limited

<div><p>We are looking for a Data QA Engineer with 3+ years of experience in data validation, ETL testing, and data test automation. The role focuses on ensuring data accuracy through automated data validation, SQL and Python-based testing, and data quality automation frameworks across cloud and on-prem data platforms.</p><br>
<p></p>
<p><b>
Responsibilities:</b></p><br>
<p></p>
<ul>
<li>Perform Data QA, data validation, database testing, and data migration testing</li>
<li>Execute ETL testing and Source-to-Target (STT) validation</li>
<li>Perform data reconciliation and data profiling</li>
<li>Develop automated data validation using SQL automation scripts and Python</li>
<li>Build and maintain ETL test automation and reusable validation scripts</li>
<li>Implement data reconciliation automation and API data validation</li>
<li>Use PyTest / unit testing frameworks for data test automation</li>
<li>Integrate data tests with CI/CD pipelines and support DevOps for data testing</li>
<li>Validate data across Snowflake, Redshift, BigQuery, and relational databases</li></ul><br>
<p></p>
<p><b>
Qualifications:</b></p><br>
<p></p>
<ul>
<li>3+ years of experience in Data QA / Data Testing</li>
<li>Strong expertise in SQL (advanced queries)</li>
<li>Hands-on experience with ETL tools (Informatica, Talend, DataStage, SSIS)</li>
<li>Experience with SQL Server, Oracle, MySQL, PostgreSQL</li>
<li>Proficiency in Python-based data validation and test automation</li>
<li>Experience with Power BI / Tableau for data validation</li>
<li>Strong command of Excel (advanced)</li>
<li>Understanding of CI/CD integration and DevOps practices for data testing</li></ul></div><p></p>

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