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Al-Futtaim

<div>Job Requisition ID: 174085
Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day 

Overview Of The Role: 
<ul>
<li>The Data Engineer is responsible for turning complex data from SAP and non-SAP sources into valuable business insights. This role involves participating in requirement assessments, implementing high-quality data solutions, and supporting various business needs. Success entails effective collaboration with product and development teams to deliver scalable, governed data solutions swiftly. The Data Engineer plays a key role in maintaining the quality of data insights solutions and ensuring alignment with business objectives.</li></ul> 

What You Will Do: 

Technical Development and Implementation
<ul>
<li>Partner with product owners, scrum masters, and solution architects to deliver solutions.</li>
<li>Review and analyze business requirements to design technical solutions.</li>
<li>Collaborate with implementation team members and partners internally and externally to develop, test, and deploy solutions.</li>
<li>Adhere to software development and maintenance standards by understanding development best practices.</li>
<li>Implement robust data pipelines using the Microsoft toolset and Databricks.</li>
<li>Create reusable and scalable data pipelines.</li>
<li>Estimate and deliver multiple project assignments and system change requests within agreed resourcing and timelines.</li></ul> 


Data Analysis and Governance
<ul>
<li>Govern solutions and assess complex new data sources with various SAP and non-SAP systems.</li>
<li>Analyze structured, semi-structured, and unstructured data sources for quality, completeness, and business value.</li>
<li>Govern the technology implementation of solution designs.</li></ul> 
 
Required Skills To Be Successful: 
<ul>
<li>Expertise in data ingestion, data processing, and analytical pipelines for big data and data warehouse solutions.</li>
<li>Experience in cloud-based analytics solutions, particularly Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, and Azure Analysis Services.</li>
<li>Strong analytic skills with experience handling unstructured datasets.</li>
<li>Thorough understanding of DevOps processes, CI/CD, and Infrastructure as code.</li></ul> 


About The Team:

This role reports to the Senior Manager 

What Equips You For The Role: 
<ul>
<li>8+ years of experience in Azure and Databricks.</li>
<li>Minimum 5+ years in implementing analytics capabilities from conceptualization to delivery on the Azure platform.</li>
<li>Bachelor's degree in Computer Science or a related field.</li>
<li>Knowledge of SAP BW/BO, Tableau, Power BI, and Scala is advantageous.</li>
<li>Certification on Azure platform toolsets is a beneficial addition.</li></ul> 
About Al-Futtaim Group Real Estate 
The real estate development and operations arm of Al-Futtaim, Al-Futtaim Group Real Estate is responsible for a multi-billion-dollar portfolio across MENA. With high-quality residential, business, retail, tourism, educational and healthcare developments, the master developer caters to the diverse needs of cities and communities in the region. From origination, conception, development, sales, procurement and construction of mega-projects and the leasing, operation and management of these projects after completion, Al-Futtaim Group Real Estate (AFGRE) has been developing and managing owned landbanks, unlocking the economic potential of the region and contributing to future development for more than 40 years. 
Our focus is to enable and invest in meaningful relationships to make our properties the best places to live and work, build additional products and services and enable partnerships to create true value to our customers throughout their entire experience with us. 
AFGRE is responsible for master planning of all projects in its portfolio, including two large scale mixed use destinations: Dubai Festival City and Cairo Festival City.
About Al-Futtaim Malls 
Al-Futtaim Malls provides development and asset management expertise, specializing in building retail-led super regional malls in prime locations across MENA and beyond. With a proven track record of creating both sustainable revenue growth and value enhancement for tenants, Al-Futtaim Malls delivers exceptional experiences and exciting shopping environments for customers.
Part of the Al-Futtaim Group, Al-Futtaim Malls leadership team brings more than 30 years of experience and a deep understanding and knowledge of the retail sector, both from a shopper&rsquo;s point of view but as curators of space or landlords to other brands. The company has a directly managed portfolio including over 9 million sqft of retail space across four malls in the MENA region and two under development. Malls under the Al-Futtaim Malls portfolio include Dubai Festival City Mall and Festival Plaza in the UAE, Cairo Festival City Mall in Egypt, Doha Festival City in Qatar and Zenata Mall, Morocco.
Leveraging on the expertise of its parent company, Al-Futtaim Malls established PLEX Management Services offering a full array of services including asset management and development, leasing, and brand experience expertise to shopping mall landlords and retail organizations globally. Implementing global best practice and deploying Al-Futtaim Mall&rsquo;s deep understanding of mall management and retail dynamics, PLEX promises to deliver continuous growth and long-term value for its partners.
For more information on Al-Futtaim Malls, please visit https://www.al-futtaimmalls.com/
About Al-Futtaim Engineering &amp; Technologies 
Al-Futtaim Engineering &amp; Technologies offers customers complete engineering and systems integration solutions. 
 
The Engineering arm operates in the UAE, Qatar, Saudi Arabia and Egypt providing a wide variety of products and services from air conditioning, scaffolding and access solutions, elevators and escalators, control and life safety, facilities management, building products, MEP, Energy Management, Technology Infrastructure and Digital Transformation. 
 
The Technologies division provides complete business solutions to large, medium and small customers that include, contact centre solutions, business applications, business intelligence, data management, advanced analytics amongst others. The IT infrastructure portfolio comprises IP telephony, ELV systems, networking solutions, professional audio-visual solutions and managed services. 
 
These solutions are further complemented by services that include project management, installation, testing, commissioning and after-sales maintenance contracts.</div>

Data Engineer

zoondia software

Location: Dubai Experience: 3-6 YearsAbout the Role:We are looking for a skilled Data Engineer to join our team in Dubai. You will work with cross-functional teams to manage data systems, build robust data pipelines, and support analytics and reporting solutions using Power BI and Talend. The ideal candidate has strong technical expertise, a data-oriented mindset, and experience handling diverse data sources and integration challenges.Roles &amp; Responsibilities<ul><li>Manage master data, including creation, updates, and deletion within Power BI.</li><li>Administer user access and roles, including Row-Level Security configurations.</li><li>Handle and process confidential data in accordance with internal guidelines.</li><li>Develop reports, analyses, and visualizations in collaboration with various departments using Power BI.</li><li>Maintain, optimize, and troubleshoot existing Power BI dashboards.</li><li>Configure and connect APIs to support data automation and integration.</li><li>Support initiatives focused on data quality, integrity, and standardization.</li><li>Conduct testing, implement new or upgraded software solutions, and assist in strategic decisions related to data systems.</li><li>Generate reports from single or multiple source systems.</li><li>Diagnose and resolve issues within the reporting environment and datasets.</li><li>Assess the impact of changes or updates to source production systems.</li><li>Apply technical expertise in data storage structures, data mining, and data cleansing.</li><li>Contribute to the development of low-code applications (Power Apps) aligned with business needs.</li><li>Design and maintain scalable ETL pipelines with Talend to ingest, transform, and load data from diverse sources into a structured data warehouse (star/snowflake schemas).</li><li>Optimize Talend workflows with data quality checks, error handling, and performance tuning to ensure reliable, well-modeled datasets for analytics and reporting.</li></ul>Qualification<ul><li>Expertise in Power BI (Power Query, DAX, data modeling, Power BI Service, Row-Level Security).</li><li>Strong understanding of data modeling principles.</li><li>Experience connecting and integrating APIs with Power BI.</li><li>Proficiency in ETL processes and data preparation.</li><li>Knowledge of SQL (querying, joins, transformations).</li><li>Familiarity with data warehousing and relational database concepts.</li><li>ETL Development &amp; Data Integration.</li><li>Data Modeling (Star/Snowflake Schemas).</li><li>Experience with Power Automate and/or Power Apps (nice to have).</li><li>Understanding of data governance, data quality, and normalization concepts.</li><li>Ability to troubleshoot data refresh issues, gateway configurations, and performance bottlenecks.</li><li>Experience working with multiple data sources (Excel, databases, cloud services, APIs, etc.).</li><li>Educational: Bachelor&rsquo;s/Master&rsquo;s degree from an accredited university or college in a computer science&ndash;related program.</li></ul>Preferred Skills<ul><li>Work experience as a data analyst or in a related field.</li><li>Ability to analyze existing tools and databases and provide software solution recommendations.</li><li>Demonstrated experience in handling large data sets and relational databases.</li><li>High-level written and verbal communication skills.</li><li>Teamwork and willingness to perform through cooperation.</li><li>Strong attention to detail.</li><li>Willingness to embrace change and solve problems.</li><li>Passion for digital transformation.</li><li>Strong analytical mindset; data-oriented.</li><li>Familiarity with low-code applications is a plus.</li><li>Knowledge or experience with NDA and data sensitivity.</li><li>Ability to communicate with English-speaking and multicultural stakeholders.</li><li>Familiar with supporting processes.</li><li>Comfortable working autonomously and taking initiatives.</li></ul>How to ApplySend your resume to soumya@zoondia.inJob Type: Full-time

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
The Data Engineer is 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 the development, testing, implementation, support and maintenance of technical data and analytic solutions and products that support Emirates Airlines and the Emirates Group businesses.
In this role, you will:
<ul><li>Complete data engineering coding tasks on problems of low to moderate scope and complexity. Demonstrate good coding principles. Ensure solutions are reviewed to adhere to published data privacy and cybersecurity principles.
</li><li>Debug issues of complexity, resolve blockers and follow design documents with some supervision.
</li><li>Assist with data analysis activities such as source system analysis, data modelling, data dictionary collection, data profiling and source-to-target mapping to ensure solutions deliver on business needs.
</li><li>Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
</li><li>Work with senior and lead data engineers in the technical design process by contributing in the analysis of data application, data integration, large data storage or data pipeline requirements.
</li><li>Update data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed Data Governance standards, guidelines and principles.
</li><li>Carry out unit testing with some supervision. Troubleshoot issues, and fix defects that are of low to moderate complexity.
</li><li>Shadow senior and lead data engineers on design and architecture components, and collaborate with members of the cross-functional team to identify areas of inefficiency and propose solutions.
</li><li>Adhere to published coding standards, guidelines and best practices and contribute to Data Engineering Playbooks and other data technology blueprints.
</li><li>Proactively work with senior and lead data engineers, chapter leads and line managers to upskill on the technology set used by Data Engineering.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for this role, you must meet the below requirements:
<ul><li>Qualifications: 12+ yrs schooling or equivalent, consideration will be given to those with 12+3 or equivalent in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering.
</li><li>Experience: Experience 4+ years in Data Engineering (Fewer years experience will be considered for Masters degree holders)
</li></ul>Knowledge &amp; Skills:
<ul><li>Specialization or electives in a Data &amp; Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have.
</li><li>Experience 4+ years in Data Engineering (Fewer years? experience will be considered for Masters degree holders).
</li><li>Minimum 1+ years of development, testing and support experience in the analytic applications such as MIS repositories, Data Lake or Data Warehouse.
</li><li>Some experience with batch data ingestion a nice-to-have; experience with coding pipelines that handle massive quantities of data, securely and in a timely fashion.
</li><li>Rudimentary understanding of reading data models required; understanding of data vault or dimensional modelling nice-to-have.
</li><li>Ability to conduct unit testing.
</li><li>Good SQL querying skills required.
</li><li>Airline industry experience a nice-to-have.
</li><li>Ability to conduct data analysis (e.g. data dictionary / metadata collection, data profiling, source-to-target mapping) is preferred.
</li><li>Operates with a ?You Code It, You Own It? 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>Able to deliver solutions (and associated value) interatively.
</li><li>Is accountable and displays positive attitude.
</li>Self-starter and has passion for exploring and learning new technologies, especially those in the Enterprise Data &amp; Analytics space. 
<li>
</li></ul> 
Technology Domain Key Technologies/Tools:
<ul><li>Big Data: Hadoop, Spark, Scala, Hive, H-Base, Sqoop, Oozie, Apache Nifi, Airflow, HDFS, ADLS (Gen 2), Azure Data Factory (ADF), DataBricks, Kafka, Elasticsearch, AVRO / PARQUET file formats
</li><li>Data Analysis, Modelling and Reporting: Snowflake, SQL, Data Vault 2.0, MicroStrategy, Power BI
</li><li>Cloud Technologies: Microsoft Azure and Cloudera technology stacks
</li><li>Integration and Messaging: Streaming (e.g. Spark Streaming), SnapLogic, TIBCO, Kafka,
</li><li>CI/CD: GIT Bitbucket, Azure DevOps, Jenkins, JIRA, Confluence
</li><li>Automation: Java, Selenium, AppDynamics, HP Load Runner, Jmeter, Python, Automation Anywhere
</li></ul>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</div>

zoondia

<div><h3 class="jobSectionHeader">ROLES &amp; RESPONSIBILITIES</h3>
<ul><li>Manage master data, including creation, updates, and deletion within Power BI.</li>
<li>Administer user access and roles, including Row-Level Security configurations.</li>
<li>Handle and process confidential data in accordance with internal guidelines.</li>
<li>Develop reports, analyses, and visualizations in collaboration with various departments using Power BI.</li>
<li>Maintain, optimize, and troubleshoot existing Power BI dashboards.</li>
<li>Configure and connect APIs to support data automation and integration.</li>
<li>Support initiatives focused on data quality, integrity, and standardization.</li>
<li>Conduct testing, implement new or upgraded software solutions, and assist in strategic decisions related to data systems.</li>
<li>Generate reports from single or multiple source systems.</li>
<li>Diagnose and resolve issues within the reporting environment and datasets.</li>
<li>Assess the impact of changes or updates to source production systems.</li>
<li>Apply technical expertise in data storage structures, data mining, and data cleansing.</li>
<li>Contribute to the development of low-code applications (Power Apps) aligned with business needs.</li>
<li>Design and maintain scalable ETL pipelines with Talend to ingest, transform, and load data from diverse sources into a structured data warehouse (star/snowflake schemas).</li>
<li>Optimize Talend workflows with data quality checks, error handling, and performance tuning to ensure reliable, well-modeled datasets for analytics and reporting.</li>
</ul><h3 class="jobSectionHeader">QUALIFICATION</h3>
<ul><li>Expertise in Power BI (Power Query, DAX, data modeling, Power BI Service, Row-Level Security).</li>
<li>Strong understanding of data modeling principles.</li>
<li>Experience connecting and integrating APIs with Power BI.</li>
<li>Proficiency in ETL processes and data preparation.</li>
<li>Knowledge of SQL (querying, joins, transformations).</li>
<li>Familiarity with data warehousing and relational database concepts.</li>
<li>ETL Development &amp; Data Integration.</li>
<li>Data Modeling (Star/Snowflake Schemas).</li>
<li>Experience with Power Automate and/or Power Apps (nice to have).</li>
<li>Understanding of data governance, data quality, and normalization concepts.</li>
<li>Ability to troubleshoot data refresh issues, gateway configurations, and performance bottlenecks.</li>
<li>Experience working with multiple data sources (Excel, databases, cloud services, APIs, etc.).</li>
<li>Educational: Bachelor&rsquo;s/Master&rsquo;s degree from an accredited university or college in a computer science&ndash;related program.</li>
</ul><h3 class="jobSectionHeader">PREFERRED SKILLS</h3>
<ul><li>Work experience as a data analyst or in a related field.</li>
<li>Ability to analyze existing tools and databases and provide software solution recommendations.</li>
<li>Demonstrated experience in handling large data sets and relational databases.</li>
<li>High-level written and verbal communication skills.</li>
<li>Teamwork and willingness to perform through cooperation.</li>
<li>Strong attention to detail.</li>
<li>Willingness to embrace change and solve problems.</li>
<li>Passion for digital transformation.</li>
<li>Strong analytical mindset; data-oriented.</li>
<li>Familiarity with low-code applications is a plus.</li>
<li>Knowledge or experience with NDA and data sensitivity.</li>
<li>Ability to communicate with English-speaking and multicultural stakeholders.</li>
<li>Familiar with supporting processes.</li>
<li>Comfortable working autonomously and taking initiatives.</li>
</ul>Experience : 3-6 years</div>

<div>Job Requisition ID: 174070
Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day 

Overview Of The Role: 
<ul>
<li>As a Senior Data Engineer in the Data and Analytics team, your role is pivotal in converting complex data landscapes into actionable business insights. You will evaluate diverse data sources from both SAP and non-SAP systems and convert these into business-ready datasets. You will be crucial in the development and support of integrating these data streams into our Azure Data platform, ensuring the data supports our business intelligence and analytics goals.</li></ul> 

What You Will Do: 


Prototyping and Solution Design
<ul>
<li>Design, document, develop, implement, and test rapid prototypes to showcase data value for extended business audiences.</li>
<li>Engage in early-stage design discussions and feature definition activities to shape future projects.</li>
<li>Convert business requirements into Technical Specification Documents (TSDs) and Functional Specification Documents (FSDs).</li></ul> 
<h4 class="jobSectionHeader">
</h4>Data Pipeline Management
<ul>
<li>Build and manage reusable and scalable data pipelines, optimizing data flows for efficiency and effectiveness.</li>
<li>Assist with regular reporting queries and support developers using tools such as Alteryx, Power BI, and Azure.</li>
<li>Develop and support integration of new data streams into Azure Data platform ensuring accessibility, reliability, and structure.</li></ul> 
<h4 class="jobSectionHeader">
</h4>Collaboration and Leadership
<ul>
<li>Act as a team player, facilitating collaboration and knowledge sharing across engineering teams.</li>
<li>Support integration of proven prototypes into core intelligence products, enhancing project delivery.</li>
<li>Adapt to agile and waterfall methodologies, guiding teams through dynamic project environments for timely deliveries.</li></ul> 
 
Required Skills To Be Successful: 
<ul>
<li>Expertise in Azure Data Factory, Databricks, and Azure Event Hubs.</li>
<li>Proven experience in constructing and refining Big Data pipelines, architectures, and datasets.</li>
<li>Strong analytical abilities for deriving insights from unstructured datasets.</li>
<li>Experience with Azure DevOps for deploying ADF pipelines, ensuring continuous integration and delivery.</li></ul> 


About the Team:
<ul>
<li>This role reports to Senior Manager.</li></ul> 


What Equips You For The Role: 
<ul>
<li>10+ years of experience in data engineering, specifically within Azure and Databricks environments.</li>
<li>Bachelor's or Master's degree in Data Management, Information Systems, Business, Computer Science, or related fields.</li>
<li>Certifications in Azure Data Fundamentals and Databricks are preferred.</li>
<li>Robust knowledge and experience with both relational and non-relational databases, and expertise in Python, PySpark, and SQL.</li></ul> 
About Al-Futtaim Group Real Estate 
The real estate development and operations arm of Al-Futtaim, Al-Futtaim Group Real Estate is responsible for a multi-billion-dollar portfolio across MENA. With high-quality residential, business, retail, tourism, educational and healthcare developments, the master developer caters to the diverse needs of cities and communities in the region. From origination, conception, development, sales, procurement and construction of mega-projects and the leasing, operation and management of these projects after completion, Al-Futtaim Group Real Estate (AFGRE) has been developing and managing owned landbanks, unlocking the economic potential of the region and contributing to future development for more than 40 years. 
Our focus is to enable and invest in meaningful relationships to make our properties the best places to live and work, build additional products and services and enable partnerships to create true value to our customers throughout their entire experience with us. 
AFGRE is responsible for master planning of all projects in its portfolio, including two large scale mixed use destinations: Dubai Festival City and Cairo Festival City.
About Al-Futtaim Malls 
Al-Futtaim Malls provides development and asset management expertise, specializing in building retail-led super regional malls in prime locations across MENA and beyond. With a proven track record of creating both sustainable revenue growth and value enhancement for tenants, Al-Futtaim Malls delivers exceptional experiences and exciting shopping environments for customers.
Part of the Al-Futtaim Group, Al-Futtaim Malls leadership team brings more than 30 years of experience and a deep understanding and knowledge of the retail sector, both from a shopper&rsquo;s point of view but as curators of space or landlords to other brands. The company has a directly managed portfolio including over 9 million sqft of retail space across four malls in the MENA region and two under development. Malls under the Al-Futtaim Malls portfolio include Dubai Festival City Mall and Festival Plaza in the UAE, Cairo Festival City Mall in Egypt, Doha Festival City in Qatar and Zenata Mall, Morocco.
Leveraging on the expertise of its parent company, Al-Futtaim Malls established PLEX Management Services offering a full array of services including asset management and development, leasing, and brand experience expertise to shopping mall landlords and retail organizations globally. Implementing global best practice and deploying Al-Futtaim Mall&rsquo;s deep understanding of mall management and retail dynamics, PLEX promises to deliver continuous growth and long-term value for its partners.
For more information on Al-Futtaim Malls, please visit https://www.al-futtaimmalls.com/
About Al-Futtaim Engineering &amp; Technologies 
Al-Futtaim Engineering &amp; Technologies offers customers complete engineering and systems integration solutions. 
 
The Engineering arm operates in the UAE, Qatar, Saudi Arabia and Egypt providing a wide variety of products and services from air conditioning, scaffolding and access solutions, elevators and escalators, control and life safety, facilities management, building products, MEP, Energy Management, Technology Infrastructure and Digital Transformation. 
 
The Technologies division provides complete business solutions to large, medium and small customers that include, contact centre solutions, business applications, business intelligence, data management, advanced analytics amongst others. The IT infrastructure portfolio comprises IP telephony, ELV systems, networking solutions, professional audio-visual solutions and managed services. 
 
These solutions are further complemented by services that include project management, installation, testing, commissioning and after-sales maintenance contracts.</div>

Senior Data Engineer

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
The Senior Data Engineer is 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 the design, development, testing, implementation, support and maintenance of technical data and analytic solutions and products that support Emirates Airlines and the Emirates Group businesses.
In this role, you will:
<ul><li>Lead technical design and build for small to medium sized solutions in a team. Translate functional and non-functional data and analytics requirements into fit for purpose technical design. Ensure solution performance, business edge cases and security related issues are addressed while developing software.
</li><li>Debug issues of complexity, resolve blockers and follow design documents with minimal or no supervision.
</li><li>Complete data engineering coding tasks on problems of moderate to high scope and complexity. Demonstrate good coding principles. Conduct code review for peers. Ensure solutions adhere to published data privacy and cybersecurity principles.
</li><li>Operate with a data-driven mindset. Help translate data and analytics requirements into data solutions based on the approved technical designs. Assist with data analysis activities such as source system analysis, data modelling, data dictionary collection, data profiling and source-to-target mapping to ensure solutions deliver on business needs.
</li><li>Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
</li><li>Work with senior and lead data engineers in the technical design process by contributing in the analysis of data application, data integration, large data storage or data pipeline requirements.
</li><li>Update data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed Data Governance standards, guidelines and principles.
</li><li>Carry out unit testing independently. Troubleshoot issues, and fix defects that are of moderate to high complexity.
</li><li>Shadow senior and lead data engineers on design and architecture components, and collaborate with members of the cross-functional team to identify areas of inefficiency and propose solutions.
</li><li>Adhere to published coding standards, guidelines and best practices and contribute to Data Engineering Playbooks and other data technology blueprints.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for this role, you must meet the below requirements:
<ul><li>Qualifications: Degree in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering.
</li><li>Experience: 2+ years of development, testing and support experience in the analytic applications such as Data Lake and Data Warehouse.
</li></ul>Knowledge &amp; Skills:
<ul><li>Specialization or electives in a Data &amp; Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have.
</li><li>Experience 2+ years Data Engineering (Fewer years experience will be considered for Masters degree holders).
</li><li>Minimum 2+ years of development, testing and support experience in the analytic applications such as Data Lake and Data Warehouse (preferably using the Big Data stack and Microsoft Azure cloud infrastructure).
</li><li>Experience with batch or real-time data ingestion; experience with coding pipelines that handle massive quantities of data (structured and unstructured), securely and in a timely fashion.
</li><li>Understanding of data architecture concepts such as data modelling, Big Data storage, Lambda architecture, data vault and dimensional modelling nice-to-have.
</li><li>Understanding on integration with source systems; able to load operational systems? data into a single data platform using data integration tools.
</li><li>Experience scheduling jobs that can be monitored efficiently and ensure data quality.
</li><li>Ability to conduct unit testing.
</li><li>Strong SQL querying skills required.
</li><li>Airline industry experience a nice-to-have.
</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 ?You Code It, You Own It? mindset (i.e. supports the products they build).
</li><li>Demonstrated problem-solver; able to design and document solutions independently.
</li><li>Team player; able to collaborate with others to remove blockers, solve complex design problems and debug/resolve issues.
</li><li>Able to deliver solutions (and associated value) iteratively.
</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></ul>Technology Domain Key Technologies/Tools:
<ul><li>Big Data: Hadoop, Spark, Scala, Hive, H-Base, Sqoop, Oozie, Apache Nifi, Airflow, HDFS, ADLS (Gen 2), Azure Data Factory (ADF), DataBricks, Kafka, Elasticsearch, AVRO / PARQUET file formats.
</li><li>Data Analysis, Modelling and Reporting: Snowflake, SQL, Data Vault 2.0, MicroStrategy, Power BI.
</li><li>Cloud Technologies: Microsoft Azure and Cloudera technology stacks.
</li><li>Integration and Messaging: Streaming (e.g. Spark Streaming), SnapLogic, TIBCO, Kafka.
</li><li>CI/CD: GIT Bitbucket, Azure DevOps, Jenkins, JIRA, Confluence.
</li><li>Automation: Java, Selenium, AppDynamics, HP Load Runner, Jmeter, Python, Automation Anywhere.
</li></ul>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</div>

Alpheya

<div>About Alpheya
We are a B2B WealthTech startup based in Abu Dhabi and backed by BNY Mellon (America&rsquo;s oldest bank and first company to list on NYSE) and Lunate (a new $50B AUM alternative asset management firm based in Abu Dhabi, UAE). The company has raised $300M to build a state of the art wealth technology platform.
Our mission is to power and grow our clients&rsquo; Wealth franchises through differentiated experiences, financial solutions, and insights. Our digital wealth management platform- will enable banks and other financial institutions in the Middle East to grow and further penetrate affluent, HNW and UHNW investor segments.
While still leveraging the capabilities and knowledge of large organizations, our fintech is a startup with truly cross-functional and agile teams.
For more information, please visit www.alpheya.com
Role description and responsibilities
We're looking for a skilled Lead Data Engineer to contribute to the Python services that power our data platform. You'll help build and maintain high-throughput ETL pipelines that ingest real-time market data and expose it through secure CRUD APIs. Working alongside other backend and data engineers, you'll make sure data flows smoothly from external sources into our internal data platform.<ul>
<li>
Leadership: Lead a team of 2-3 Data Engineers to deliver production ready ETL pipelines and APIs exposing RAG and Agents capabilities.</li>
<li>Market-Data ETL Pipelines: Implement, test, and improve scalable ETL workflows that handle large volumes of data.</li>
<li>Async Orchestration &amp; Scheduling: Develop and maintain task queues with Async tools, helping the team meet SLAs and surface operational metrics.</li>
<li>API Implementation: Build REST endpoints with FastAPI Framework, providing clean CRUD access to market data and configuration entities.</li>
<li>Observability &amp; Reliability: Add structured logs, traces, and metrics; contribute alerts and dashboards (Prometheus/Grafana, OpenTelemetry) that keep services at 99.9 % + availability.</li>
<li>Code Quality &amp; Best Practices: Write type-safe, well-tested code, participate in code reviews, and help maintain CI/CD workflows.</li>
<li>Cross-Functional Collaboration: Work closely with data scientists, and product managers to translate data requirements into robust backend capabilities.</li>
</ul>
Requirements<ul>
<li>
Education - Master's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).</li>
<li>Experience - 5+ years building production Python backends for data-intensive applications.</li>
<li>Python Mastery - Modern Python (3.10 +) with asyncio, typing, dependency injection, and packaging best practices.</li>
<li>ETL Skills - Experience designing batch or streaming pipelines; comfort with Kafka, RabbitMQ, or similar tools.</li>
<li>Database Skills - Strong Postgres knowledge: migrations (Alembic, Django ORM), query tuning, partitioning, backup/restore.</li>
<li>Async Orchestration - Hands-on with async tools like Airflow, Dagster, or Celery for scheduling and monitoring jobs.</li>
<li>API Engineering - Proven ability to implement secure, versioned REST/GraphQL APIs with auth, rate-limiting, and RBAC.</li>
<li>Testing &amp; DevOps - Familiarity with Pytest, Docker, Kubernetes, Terraform, and GitHub Actions (or similar).</li>
<li>Soft Skills - Clear written and verbal communication; collaborative mindset.</li>
</ul>
Nice-to-Haves<ul>
<li>
Time-series or columnar DBs (TimescaleDB, ClickHouse, InfluxDB).</li>
<li>Knowledge of financial market-data protocols (FIX, FAST) or regulatory feeds.</li></ul></div>

Lead Data Engineer

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