big data engineer

ByteDance

Location: 
Dubai
 
Team: 
Technology
 
Employment Type: 
Regular
 
Job Code: 
A215694
 
Responsibilities
 
Team Introduction
 The mission of the CSS data team is to empower the Corporate Service System Business with data. We support our businesses in achieving their missions by building high quality real-time and offline data warehouses, creating various forms of efficient and data-friendly data assets, and exploring and implementing business oriented data solutions. We provide stable and reliable data capabilities for daily operations, analyses, decision-making of the Workplace Service System.
 
As a data engineer in the CSS data team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem.If you're looking for a challenging ground to push your limits, this is the team for you!
 
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.
 
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
 
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.
 
Online Assessment
 Candidates who pass resume screening will be invited to participate in ByteDance 's technical online assessment.
 
Responsibilities: 
<ul>
<li>Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis).</li>
<li>Design and implement reliable, scalable, robust and extensible big data systems that support core products and business.</li>
<li>Establish solid design and best engineering practice for engineers as well as non-technical people.</li>
</ul>
Qualifications
 
Minimum Qualification(s): 
<ul>
<li>Completing or have recently completed a Bachelor’s degree in in Software Development, Computer Science, Computer Engineering, or a related technical discipline.</li>
<li>Proficient in Java/Python, and have solid programming skills(e.g. algorithms and data structures).</li>
<li>Familiar with Big Data technologies (Hadoop, M/R, Hive, Spark, Flink etc.).</li>
<li>Good communication and teamwork skills to clearly communicate technical concepts with other teammates.</li>
</ul>
Preferred Qualifications: 
<ul>
<li>Experience with performing data analysis, data ingestion and data integration.</li>
<li>Experience with ETL(Extraction, Transformation & Loading) and architecting data systems.</li>
<li>Experience with schema design, data modeling and SQL queries.</li>
</ul>
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy
 
Job Information
 
About Us
 
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
 
Why Join ByteDance
 
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
 
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 
Diversity & Inclusion
 
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Data Engineer Graduate (Corporate Information System) - 2026 Start (BS/MS)

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>

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>

Senior Data Engineer

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>

Deem Finance

<div>
 
 
 Key Performance Indicators
 
 
 
 
 Advanced Analytics &amp; AI Enablement
 
 
 <ul>
 <li>
 Lead the development of
 
 predictive, prescriptive, and ML models
 
 for growth, risk, customer experience, and efficiency.
 </li>
 <li>
 Build reusable
 
 data products, dashboards, and analytical APIs
 
 for business self-service.
 </li>
 <li>
 Deploy AI/ML use cases across domains such as
 
 Cards, PL, ML, SME, Deposits, Digital Channels, Collections, and Marketing
 
 .
 </li>
 <li>
 Ensure measurable business impact (revenue uplift, cost reduction, risk mitigation).
 </li>
 </ul>
 
 
 
 
 
 Business Partnering &amp; Value Realisation
 
 
 <ul>
 <li>
 Partner with senior business stakeholders to identify
 
 high-value data opportunities
 
 .
 </li>
 <li>
 Translate business problems into analytical solutions with
 
 clear ROI and success metrics
 
 .
 </li>
 <li>
 Challenge assumptions with data-driven insights and influence strategic decisions.
 </li>
 </ul>
 
 
 
 
 
 Data Products &amp; Platform Adoption
 
 
 <ul>
 <li>
 Promote scalable analytics using cloud, big data, and modern ML platforms.
 </li>
 <li>
 Improve analytics maturity across teams through enablement and best practices.
 </li>
 </ul>
 
 
 
 
 
 Data Strategy &amp; Digital Data Journey
 
 
 <ul>
 <li>
 Define and execute the
 
 enterprise data &amp; analytics roadmap
 
 aligned with business strategy.
 </li>
 <li>
 Establish data as a
 
 single source of truth
 
 through governed, scalable, and reusable data assets.
 </li>
 <li>
 Drive adoption of advanced analytics, AI, and automation across business units.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Lead the
 
 design, development, and deployment
 
 of advanced analytics and AI solutions.
 </li>
 <li>
 Own the
 
 end-to-end analytics lifecycle
 
 : problem framing, data preparation, modelling, validation, deployment, and monitoring.
 </li>
 <li>
 Guide teams on
 
 feature engineering, model selection, performance tuning, and interpretability
 
 .
 </li>
 <li>
 Drive data storytelling and executive-level insights through compelling narratives and visuals.
 </li>
 <li>
 Mentor and develop data scientists and analysts; set technical and delivery standards.
 </li>
 <li>
 Collaborate with IT, Data Engineering, Risk, Finance, and Product teams to embed analytics into workflows.
 </li>
 <li>
 Prioritise initiatives using
 
 value vs effort
 
 and ensure timely execution.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Core Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong hands-on expertise in
 
 Python/R / SQL
 
 and modern data science frameworks.
 </li>
 <li>
 Proven experience in
 
 machine learning, statistical modelling, and AI techniques
 
 .
 </li>
 <li>
 Strong understanding of
 
 data architecture, data pipelines, and cloud analytics platforms
 
 .
 </li>
 <li>
 Ability to convert complex analytical outputs into
 
 clear business recommendations
 
 .
 </li>
 <li>
 Excellent stakeholder management, communication, and presentation skills.
 </li>
 <li>
 Strategic mindset with execution focus.
 </li>
 <li>
 Ability to manage multiple initiatives in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Educational &amp; Other Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science, Computer Science, Statistics, Engineering, or related field
 
 .
 </li>
 <li>
 
 7&ndash;10 years of experience
 
 in data science, advanced analytics, or AI roles, preferably within
 
 banking or financial services
 
 .
 </li>
 <li>
 Strong exposure to
 
 banking/NBFC domains
 
 (Cards, Loans, SME, Digital Channels, Risk, Marketing).
 </li>
 <li>
 Experience working with
 
 cloud platforms
 
 (AWS, Azure, GCP) and big-data ecosystems.
 </li>
 <li>
 Exposure to
 
 data
 
 &amp;
 
 risk models, and regulatory environments
 
 is a strong advantage.
 </li>
 </ul>
 
 
</div>

Digital Data Scientist

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Team
 
 
 
 The Careem Data Science team&rsquo;s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision-making, operational efficiencies, and lead the region&rsquo;s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region, while innovating on our user experience using GenAI.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Be part of a 0-1 AI transformation for the Careem app from a personalization perspective.
 </li>
 <li>
 Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision-making.
 </li>
 <li>
 Drive exploratory analysis to understand the ecosystem, user behaviour, and identify new levers to help move metrics and build models of user behaviours for analysis and product enhancements.
 </li>
 <li>
 Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
 </li>
 <li>
 Provide product leadership by sharing data-based recommendations to communicate the state of the business, the root cause of change in metrics, and experimentation results, influencing product and business decisions
 </li>
 <li>
 Implement scalable machine learning algorithms that will be used in production on big data.
 </li>
 <li>
 Embark on exploratory data analysis projects to achieve a better understanding of phenomena as well as to discover untapped areas of growth and optimization.
 </li>
 <li>
 Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
 </li>
 <li>
 Help define and track the appropriate key metrics for specific projects.
 </li>
 <li>
 Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
 </li>
 <li>
 You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
 </li>
 <li>
 Build and deploy retrieval augmented generation systems and other applications of large language models.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 6 - 8 years of experience in data mining, predictive modelling, time series analysis, machine learning, Big Data methodologies, and transformation and cleaning of both structured and unstructured data.
 </li>
 <li>
 Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
 </li>
 <li>
 Solid experience with Deep Learning Techniques (e.g, attention, retrieval models, etc)
 </li>
 <li>
 1-2 years of industrial experience in personalization, recommendation or search is a MUST. Preferably working in a product-driven company.
 </li>
 <li>
 Strong problem-solving and coding skills.
 </li>
 <li>
 Solid knowledge of AB testing, classic ML, and DL
 </li>
 <li>
 Solid understanding of recommendations, ranking, and retrieval.
 </li>
 <li>
 Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
 </li>
 <li>
 Demonstrated experience with database technologies (e.g. , Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
 </li>
 <li>
 Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skill, is a plus.
 </li>
 </ul>
</div>

Senior Data Scientist II

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
We are seeking a skilled AWS Glue Data Engineer to join our Data Factory Squad, responsible for migrating source systems into the Lakehouse ingestion zone. This role focuses on building scalable ingestion pipelines, optimizing performance, and ensuring compliance with architectural and data assurance standards.
You will ideally have experience working in financial services with strong experience in AWS Glue, PySpark, and ETL pipeline development.
Your responsibilities as the AWS Glue Data Engineer will include:<ul>
<li>
Data Ingestion Development</li>
<li><ul><li>Building and implementing AWS Glue jobs for Bronze layer ingestion using defined standards and templates.</li>
<li>Implementing correct loading methods based on source requirements (CDC, full load, delta, snapshot).</li>
<li>Designing and executing historical loading mechanisms to bring legacy data into the Lakehouse.</li>
</ul></li><li>Performance Optimisation</li>
<li><ul><li>Optimising Glue job performance (DPU allocation, parallelization, partitioning) according to best practices.</li>
<li>Collaborating with platform teams to ensure tooling and optimization alignment.</li>
</ul></li><li>Migration &amp; Automation</li>
<li><ul><li>Aggressively migrating source tables to Bronze layer, initially using manual approaches with standards/templates, later leveraging AI-enabled acceleration.</li>
<li>Ensuring jobs are version-controlled and production deployment is automated via Git and Terraform.</li>
</ul></li><li>Governance &amp; Monitoring</li>
<li><ul><li>Implementing source system connectivity into CDP in collaboration with source system owners.</li>
<li>Ensuring jobs comply with data contracts and are properly monitored.</li>
<li>Preparing documentation and handover to operational support teams.</li>
</ul></li><li>Collaboration</li>
<li><ul><li>Working closely with Data Architect for ingestion patterns and standards.</li>
<li>Coordinating with Data Assurance Lead to apply quality checks across all jobs.</li>
<li>Partnering with platform engineers for tooling and optimisation.</li>
</ul></li>
</ul>Requirements
You will have experience in:<ul><li>
AWS Glue, PySpark, and ETL pipeline development;</li></ul><ul>
<li>substantial knowledge of Lakehouse architecture and Medallion design principles;</li>
<li>familiarity with CDC, delta loads, and historical data ingestion strategies; and;</li>
<li>5+ years experience in data engineering roles, with hands-on experience in AWS Glue.</li>
</ul>
You should also have knowledge of:<ul>
<li>
AWS services: Glue, S3, Athena, Lambda;</li>
<li>Git, Terraform for CI/CD automation;</li>
<li>data quality frameworks (e.g., Soda Core);</li>
<li>identifying ways to automate their work / repetitive tasks;</li>
<li>working in a fast-paced environment and deliver aggressive migration targets;</li>
<li>collaborating and communication with different stakeholder levels; and;</li>
<li>working with Jira and agile way of working.</li>
</ul>
As an AI consultancy, our greatest asset is the expertise of our people.
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

AWS Glue Data Engineer

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