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data engineer

Orange

<div><div>Purpose of the job
As a data engineer you'll work as s a Big Data Developer, you will be working on Data Ingestion activities to bring large volumes of data into our Big Data Lake. The candidate will play a vital role in building new data pipelines from various structured and unstructured sources into Hadoop. You will be working closely with data consumers and source owners to create the foundation for data analytics and machine learning activities.
Duties and responsibilities<ul><li>
Identifying data ingestion patterns and build framework to efficiently ingest the data to our Data Lake</li><li>
Performance tuning ingestion jobs to improve throughput</li><li>
Improving CI/CD process by automating build, test and deployment framework</li><li>
Build high-performance algorithms, prototypes, and proof of concepts</li><li>
Research opportunities for data acquisition and new uses for existing data</li><li>
Develop data set processes for data modeling, mining and production</li><li>
Integrate new data management technologies and software engineering tools into existing framework</li><li>
Work with In-memory database tools (Redis, Riak)</li><li>
Collaborate with data architects, modelers and IT team members on project goals</li></ul>
Education<ul><li>
Bachelor degree of Engineering in Computer Systems, or Computer Science.</li></ul>
Experience<ul><li>
5+ years working with Java based applications and open source technologies</li><li>
3+ years data engineering experience supporting high-volume, high-velocity data streams.</li><li>
Prior experience in working with Hadoop technologies such as HBase, Hive, Spark is a plus 
</li><li>
Performance tuning of Java applications and messaging technologies is a plus</li><li>
Prior experience with relational databases such as MS SQL, Oracle and DB2</li><li>
Knowledge and understanding of SDLC and Agile/Scrum procedures, CI/CD and Automation is required</li><li>
Ability to use containers like dockers or Kubernetes is a plus</li><li>
Ability to write SQL queries and use tools such as Hadoop, Tableau, QlikView, and other data reporting tools.</li><li>
Experience in transactional and data warehouse environments using MySQL, Hive, or other database systems. Must deeply understand joins, subqueries, window functions, etc.</li><li>
Strong background in designing relational databases like Postgres and NoSQL database like Mongo DB
 
or Cassandra</li></ul>
Skills and abilities<ul><li>
Very good English both written &amp; spoken.</li><li>
Good computer skills.</li><li>
Past experience in telecom operators and service providers is preferred</li><li>
Good knowledge of database systems and BI solutions</li><li>
Good programming and debugging skills.</li><li>
Good problem solving skills.</li><li>
Ability to administer different hardware and operating system solutions.</li></ul>
</div><div></div><div><h2 class="jobSectionHeader">Contrat
</h2><div>CDI</div></div></div>

Sr. Supervisor Data Engineer

اورنچ مصر

<div>About the job Senior Software Development Engineering
<div>Purpose of the job

As a software development senior engineer you'll work in a Big Data environment, to lead supervise and contribute to building an elastic, high performance scalable applications.

You will be working with the team on problems involving large scale distributed systems, service-oriented architectures, data and metadata storage, computing infrastructure automation and more.

You will be expected to contribute to setting the standards, deliveries and process of the data platform engineering process. Training, leading and facilitating work for junior engineers. The candidate will play a vital role in leading the processes of mediating, governing and stewardship of corporate data sets. You will be working closely with the data analytics team to support mining, auditing, testing, researching and visualizing corporate data sets and with the business consumers and subject matter experts to drive smart data driven solutions and initiatives.

Duties and responsibilities
<ul><li>
Contribute in developing plans for the team according to the department strategic vision.</li><li>
Provide strong technical leadership to the team with a focus on quality, performance, and security.</li><li>
Foster a culture of creativity and innovation while also promoting practical decision making.</li><li>
Help growing the team by participating in the recruiting process.</li><li>
Collaborate with data scientists, data analysts, modelers and IT team members on project goals.</li><li>
Optimize the performance and support monitoring of data platform systems and computing infrastructure.</li><li>
Define and deliver on service availability and quality SLAs.</li></ul>

Job specification

Education
<ul><li>
Bachelor degree of Engineering in Computer Systems, or Computer Science.</li></ul>

Experience
<ul><li>
5 to 7 years of hands-on software engineering experience</li><li>
Solid engineering fundamentals with extensive and strong software development experience.</li><li>
Experience coaching and mentoring junior software engineers.</li><li>
Experience and understanding of SDLC and Agile/Scrum procedures.</li><li>
Experience working in a big data environment and using big data tools is preferred.</li><li>
Experience with infrastructure as a code, automation and DevOps practices is preferred.</li><li>
Past experience in telecom operators and service providers is preferred.</li></ul>

Skills and abilities
<ul><li>
Very good English both written &amp; spoken.</li><li>
Excellent collaboration and communication skills and comfortable working across multiple teams.</li><li>
Strong hands-on skill, can drill deep into complex systems design and implementation.</li><li>
Strong problem solving and troubleshooting skills.</li><li>
Excellent knowledge of database systems.</li><li>
Excellent programming and debugging skills.</li><li>
Good systems administration skills.</li></ul></div></div>

Senior Software Development Engineering

<div><div>Purpose of the job
As a software development senior engineer you'll work in a Big Data environment, to lead supervise and contribute to building an elastic, high performance scalable applications.
You will be working with the team on problems involving large scale distributed systems, service-oriented architectures, data and metadata storage, computing infrastructure automation and more.
You will be expected to contribute to setting the standards, deliveries and process of the data platform engineering process. Training, leading and facilitating work for junior engineers. The candidate will play a vital role in leading the processes of mediating, governing and stewardship of corporate data sets. You will be working closely with the data analytics team to support mining, auditing, testing, researching and visualizing corporate data sets and with the business consumers and subject matter experts to drive smart data driven solutions and initiatives.
Duties and responsibilities<ul><li>
Contribute in developing plans for the team according to the department strategic vision.</li><li>
Provide strong technical leadership to the team with a focus on quality, performance, and security.</li><li>
Foster a culture of creativity and innovation while also promoting practical decision making.</li><li>
Help growing the team by participating in the recruiting process.</li><li>
Collaborate with data scientists, data analysts, modelers and IT team members on project goals.</li><li>
Optimize the performance and support monitoring of data platform systems and computing infrastructure.</li><li>
Define and deliver on service availability and quality SLAs.</li></ul>
Job specification
Education<ul><li>
Bachelor degree of Engineering in Computer Systems, or Computer Science.</li></ul>
Experience<ul><li>
5 to 7 years of hands-on software engineering experience</li><li>
Solid engineering fundamentals with extensive and strong software development experience.</li><li>
Experience coaching and mentoring junior software engineers.</li><li>
Experience and understanding of SDLC and Agile/Scrum procedures.</li><li>
Experience working in a big data environment and using big data tools is preferred.</li><li>
Experience with infrastructure as a code, automation and DevOps practices is preferred.</li><li>
Past experience in telecom operators and service providers is preferred.</li></ul>
Skills and abilities<ul><li>
Very good English both written &amp; spoken.</li><li>
Excellent collaboration and communication skills and comfortable working across multiple teams.</li><li>
Strong hands-on skill, can drill deep into complex systems design and implementation.</li><li>
Strong problem solving and troubleshooting skills.</li><li>
Excellent knowledge of database systems.</li><li>
Excellent programming and debugging skills.</li><li>
Good systems administration skills.</li></ul>
</div><div></div><div><h2 class="jobSectionHeader">Contrat
</h2><div>CDI</div></div></div>

VOIS

<div>
 
 Join Us
 
 
 
 At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.
 
 
 
 Role purpose:
 
 
 
 The senior ML Engineer is a core member of the agile teams facilitating trained ML models to design and deliver E2E solutions as a final product that fulfill the COE automation target. The senior machine Learning Engineer job is to mainly develop and design machine learning pipeline / integrations using different machine learning platforms and his software engineering / cloud skills. Ability to prioritize well, communicate clearly, have a consistent track record of delivery and excellent software engineering skills. Creative engineering balanced with high quality and a customer focus. Must be able to work across multiple facets of the project and juggle multiple responsibilities at the same time. Strong analytic capability and the ability to create innovative solutions.
 
 
 
 Key accountabilities and decision ownership:
 
 
 
 <ul>
 <li>
 Develop solutions for real world, large scale problems
 </li>
 <li>
 Design, develop, test, deploy, maintain and improve software
 </li>
 <li>
 Design, develop, and operate the data pipeline platform
 </li>
 <li>
 Manage individual project priorities, deadlines and deliverables
 </li>
 <li>
 Create /Design and maintain ML pipeline and workflows
 </li>
 <li>
 Refactor and optimize ML algorithms to fit on the final solutions
 </li>
 <li>
 Create /Design and maintain automation workflows
 </li>
 <li>
 Understand the product in detail, empathize with customers, so you can predict potential issues in feature development
 </li>
 <li>
 Develop and deploy integrations/APIs on cloud
 </li>
 <li>
 Deliver dockarized micro services on TTD approach
 </li>
 <li>
 Facilitate the cloud capabilities within the developed tools
 </li>
 <li>
 Create /Design Web applications and tools that help data scientists to do their work effectively
 </li>
 <li>
 Create /Design Web applications and tools that allow customers to consume our ML services
 </li>
 <li>
 Follow best practices and standards for accessibility and cross-browser compatibility
 </li>
 <li>
 Stick to established coding standards and group procedures individually and in teams
 </li>
 <li>
 Add to engineering team&rsquo;s culture of high code quality
 </li>
 <li>
 Design and build UIs on any server platform in a team environment
 </li>
 <li>
 Manage activities, scope and timelines on the projects with minimum supervision
 </li>
 <li>
 Work with planners to design, develop, and operate tools that fulfill internal requirements
 </li>
 <li>
 Provide user support
 </li>
 <li>
 Work with other teams to conduct troubleshooting when necessary
 </li>
 <li>
 Mentor interns and junior developers, and interview engineering talent
 
 
 
 </li>
 </ul>
 Code review and peer programming
 
 
 
 Core competencies, knowledge and experience:
 
 
 
 <ul>
 <li>
 Strong fundamental knowledge of computer science, such as data structure, algorithm design, and computational analysis
 </li>
 <li>
 Experience with one or more general purpose programming languages including but not limited to: Java, Python, JavaScript, or Go
 </li>
 <li>
 Experience with Information Retrieval techniques and frameworks
 </li>
 <li>
 Proficiency in HTML, Javascript, CSS and general Web 2.0 techniques
 </li>
 <li>
 Experience taking a leading role in building complex software systems that have been successfully delivered to customers
 </li>
 <li>
 Knowledge of professional software engineering practices &amp; best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
 </li>
 <li>
 Experience with Cloud technologies like GCP and/or AWS products
 </li>
 <li>
 Experience with Django/ Flask
 </li>
 <li>
 Experience with react js
 </li>
 <li>
 Experience RESTful API, SOAP, graph...etc
 </li>
 <li>
 Experience containerization technologies like docker and kubernetes
 </li>
 <li>
 Experience with concurrent/multi-threaded programming
 </li>
 <li>
 Experience with development and system operation in Linux/Unix environments
 </li>
 <li>
 Hands-on Experience with Machine Learning and it's libraries like Sklearn
 </li>
 <li>
 Python Data Science stack (NLTK, Pandas, Numpy)
 </li>
 <li>
 Data Mining, Natural language Programming
 </li>
 <li>
 Familiar with deep learning pipelines and tensorflow basics
 </li>
 <li>
 Familiar with big data platforms like Hadoop, Spark
 </li>
 <li>
 Have a high preference to work on data engine, but also have a good understanding of how the services layer works, and how data is consumed by the front-end
 
 
 
 </li>
 </ul>
 
 Must have technical / professional qualifications:
 
 
 
 Knowledge of database systems (especially internal design in addition to how to use).
 
 
 <ul>
 <li>
 3-5+ years of experience working in the software engineering and machine learning fields
 </li>
 <li>
 Work with cross-functional/and global teams including product management, quality assurance, and support teams
 </li>
 <li>
 Experience of working on projects that span multi-disciplinary areas of differing size and complexity to meet business expectations and deliver results
 </li>
 <li>
 Confident and able to liaise and influence at all levels within Vodafone and/or relevant customer organizations
 </li>
 <li>
 Able to communicate effectively across organizational, technical and political boundaries, understanding the context
 </li>
 <li>
 Understands business requirements
 </li>
 <li>
 Drives improvements and process innovation
 </li>
 <li>
 Working proficiency and communication skills in verbal and written English
 </li>
 <li>
 Interest and ability to learn other coding languages as needed
 </li>
 <li>
 Strong problem-solving skills
 </li>
 <li>
 High sense of ownership with proactive attitude
 
 
 
 </li>
 </ul>
 #VOIS #BeUnrivalled #Createthefuture
</div>

Sr. Machine Learning Engineer

<div><div>Purpose of the job
A Data Modeler will support the creation of Logical and Physical Data Models using normalized (3NF) and dimensional structures. This role is enabling Enterprise Data Analytics and decision-making by adhering to architectural standards, governance best practices, and ensuring data consistency. Collaboration with business stakeholders to define and document business requirements while promoting data modeling best practices across the organization.
Duties and responsibilities<div><ul><li>
Develop Logical and Physical data models for OLAP and OLTP systems.</li></ul><ul><li>
Enforce modeling standards including normalization, denormalization, data transformation, data lineage, and data quality for the Enterprise Data Platform.</li></ul><ul><li>
Transform raw data from multiple sources into actionable insights.</li></ul><ul><li>
Conduct modeling sessions with project teams across business units to gather and define data requirements for the Enterprise Data Models.</li></ul><ul><li>
Collaborate with business and data teams to enhance data models quality and validity for decision support entities.</li></ul><ul><li>
Perform light data analysis and profiling using SQL queries on metadata as needed.</li></ul><ul><li>
Document data models for building reference that includes definitions for business terms and KPIs.
</li></ul><ul><li>Conceptualize complex data schemes while ensuring alignment with modern data architectures like Data Lakehouse.</li></ul><ul><li>
Collaborate with business stakeholders for requirements gathering and ensure alignment of data models with business needs.</li></ul></div>
Job specification
Education
Bachelor's degree from a recognized university in Computer Science, Engineering, or any relevant field.
Experience<div><ul><li>
3 - 5 Years Experience In data modeling, statistical analysis, data manipulation, and ETL.</li><li>
Telecom industry experience is a strong plus</li></ul></div>
Skills and abilities<ul><li>
Strong proficiency of English language spoken and written</li><li>
Advanced level in using SQL for analytics.</li><li>
Knowledgeable in Inmon and Kimball approaches for designing Data Warehouse and Data Mart architectures.</li><li>
Familiar with using Data Build Tool (DBT) and Python.</li><li>
Knowledge of big data ecosystems and trending data platform architectures.</li><li>
Strong analytical mindset with experience in turning business requirements into logical and physical models.</li><li>
Ability to grasp concepts quickly.</li></ul>
</div><div></div><div><h2 class="jobSectionHeader">Contrat
</h2><div>CDI</div></div></div>

SUPERVISOR, DATA MODELING

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
 
 
 You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
 
 
 Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
 
 
 
 Your Role And Responsibilities
 
 
 
 We are seeking an experienced Data Scientist. The ideal candidate will have a deep understanding of Machine Learning, Generative AI, and Large Language Models, combined with strong leadership abilities. This role will be responsible for business development, overseeing the development and implementation of advanced data-driven solutions as well as mentor a team of talented data scientists.
 
 
 
 Technical Oversight
 
 
 
 <ul>
 <li>
 Oversee the design, development, and deployment of Machine Learning models and AI solutions.
 </li>
 <li>
 Ensure the use of best practices in data science, including model validation, performance monitoring, and continuous improvement.
 </li>
 <li>
 Stay informed about the latest developments in AI/ML and drive the adoption of relevant technologies within the team.
 
 
 </li>
 </ul>
 
 Team Development
 
 
 
 <ul>
 <li>
 Provide mentorship and professional development opportunities to project and practice team members.
 </li>
 <li>
 Actively support in recruitment efforts to attract top talent and grow the team as needed.
 </li>
 <li>
 Help Foster a culture of learning and continuous development within the AI/Data Science team.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 
 Required technical and professional expertise
 
 
 
 <ul>
 <li>
 7+ years of experience in Data Science and Machine Learning with at least 1 year of experience in conversational solutions design and development using Watson Assistant or similar conversational AI platforms.
 </li>
 <li>
 Proven track record of delivering AI/ML projects.
 </li>
 <li>
 Experience with Generative AI and Large Language Models is highly desirable
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in programming languages such as Python, R, or Scala.
 </li>
 <li>
 Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.
 </li>
 <li>
 Strong knowledge of Natural Language Processing (NLP) and AI ethics.
 
 
 </li>
 </ul>
 
 Leadership Skills
 
 
 
 <ul>
 <li>
 Leadership skills with the ability to inspire and motivate junior team members.
 </li>
 <li>
 Strategic thinking with the ability to align data science initiatives with business objectives.
 </li>
 <li>
 Very good communication skills, capable of conveying complex ideas to a variety of audiences.
 </li>
 <li>
 Proven ability to work collaboratively in projects with cross-functional teams.
 </li>
 <li>
 Experience in building/scaling data science teams and implementing AI solutions in a large (preferably, consulting) organization.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 
 Hiring manager and Recruiter should collaborate to create the relevant verbiage.
 
</div>

Data Scientist

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4
 
 
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Lead DS (Data Scientist) Bangkok based, Relocation provided

Explore 96+ Data engineer in Giza this October. Find roles across top companies and apply now to boost your career.

96 data engineer jobs IN Giza

Sr. Supervisor Data Engineer

Senior Software Development Engineering

Senior Software Development Engineering

Sr. Machine Learning Engineer

SUPERVISOR, DATA MODELING

Data Scientist

Lead DS (Data Scientist) Bangkok based, Relocation provided