marketing executive

data analyst

senior data scientist

senior data analyst

senior data engineer

marketing data engineer

Beyond Menu

<div>
 
 At&nbsp;BeyondMenu, we empower local restaurants to thrive through digital hospitality. Our all-in-one online ordering solution is purpose-built for independent restaurant owners, helping them grow their business with simple, effective tools for online and in-person service.
 
 
 
 
 
 We are&nbsp;profitable, rapidly&nbsp;growing, and backed by&nbsp;Bregal Sagemount&mdash;one of the most successful private equity firms in the world. As part of their portfolio, we&rsquo;re scaling fast with a focus on results, accountability, and long-term success.
 
 
 
 
 
 If you&rsquo;re looking to join a high-performance team and help build the future of restaurant tech, we want to hear from you
 
 
 
 
 
 We&rsquo;re looking for a Marketing Data Engineer who loves building reliable data systems as much as exploring the &ldquo;why&rdquo; behind the numbers. You&rsquo;ll sit at the intersection of data engineering, marketing analytics, and go-to-market strategy &mdash; helping connect marketing, sales, and product data to unlock insights and power personalized customer experiences.
 
 
 
 
 
 This role is ideal for someone who can write scalable data pipelines&nbsp;and&nbsp;enjoys partnering with cross-functional teams to translate data into decisions.
 
 
 
 Key Responsibilities:
 
 
 
 
 
 Marketing Data Infrastructure
 
 <ul>
 <li>
 Build and maintain integrations between Meta, Google Ads, Iterable, and SMS platforms and our cloud data warehouse.
 </li>
 <li>
 Design segmentation pipelines and event-driven triggers that orchestrate marketing campaigns and customer journeys.
 </li>
 <li>
 Ensure high data quality and observability across marketing activation systems.
 </li>
 </ul>
 
 
 
 
 Sales &amp; Revenue Data Pipelines
 
 <ul>
 <li>
 Integrate multiple sources (CRM, call platforms, marketing automation, product usage) to create unified go-to-market performance metrics and dashboards.
 </li>
 <li>
 Manage pipelines that process unstructured data (sales calls, webscraped data) using generative AI to produce structured insights, summaries, and performance feedback for revenue teams.
 </li>
 </ul>
 
 
 
 
 Product &amp; Customer Experience Data
 
 <ul>
 <li>
 Build data flows that push insights and custom datasets into our product &mdash; powering features like dynamic menus, AI-driven recommendations, and personalized push notifications.
 </li>
 <li>
 Collaborate with product managers and engineers to ensure real-time data supports key customer experiences.
 </li>
 </ul>
 
 
 
 
 Insights &amp; Analysis
 
 <ul>
 <li>
 Conduct ad-hoc and automated analysis to uncover trends, patterns, and opportunities in marketing and sales performance.
 </li>
 <li>
 Partner with marketing and sales leadership to design and execute experiments, tests, and causal analyses that measure the impact of campaigns, content, and channels.
 </li>
 <li>
 Act as a bridge between data and business &mdash; helping non-technical stakeholders understand data in clear, actionable ways.
 
 </li>
 </ul>
 
 What You Need:
 
 <ul>
 <li>
 3+ years of experience in data engineering, analytics, or marketing technology.
 </li>
 <li>
 Proficiency in SQL and Python
 </li>
 <li>
 Proven experience developing scalable data pipelines for ingesting and synchronizing high-volume data through third-party APIs.
 </li>
 <li>
 Experience with modern data stacks (e.g., Databricks, dbt, Airflow, Fivetran, Snowflake, or similar).
 </li>
 <li>
 Hands-on experience integrating APIs for ad platforms, marketing automation, or CRM systems.
 </li>
 <li>
 Familiarity with AI and NLP pipelines is a strong plus.
 </li>
 <li>
 Strong communication skills &mdash; able to explain complex systems and insights to marketing and sales leaders.
 </li>
 <li>
 Business-level English speaking and writing skills.
 </li>
 <li>
 Ability to work during US Eastern business hours.&nbsp;
 </li>
 <li>
 Curiosity, initiative, and a desire to understand how marketing and sales activities translate into business outcomes.
 </li>
 </ul>
 
 
 
</div>

Marketing Data Engineer

<div>
 At BeyondMenu, we empower local restaurants to thrive through digital hospitality. Our all-in-one online ordering solution is purpose-built for independent restaurant owners, helping them grow their business with simple, effective tools for online and in-person service.
 
 
 We are profitable, rapidly growing, and backed by Bregal Sagemount&mdash;one of the most successful private equity firms in the world. As part of their portfolio, we&rsquo;re scaling fast with a focus on results, accountability, and long-term success.
 
 
 If you&rsquo;re looking to join a high-performance team and help build the future of restaurant tech, we want to hear from you
 
 
 We&rsquo;re looking for a Marketing Data Engineer who loves building reliable data systems as much as exploring the &ldquo;why&rdquo; behind the numbers. You&rsquo;ll sit at the intersection of data engineering, marketing analytics, and go-to-market strategy &mdash; helping connect marketing, sales, and product data to unlock insights and power personalized customer experiences.
 
 
 This role is ideal for someone who can write scalable data pipelines and enjoys partnering with cross-functional teams to translate data into decisions.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Marketing Data Infrastructure
 </li>
 <li>
 Build and maintain integrations between Meta, Google Ads, Iterable, and SMS platforms and our cloud data warehouse
 </li>
 <li>
 Design segmentation pipelines and event-driven triggers that orchestrate marketing campaigns and customer journeys
 </li>
 <li>
 Ensure high data quality and observability across marketing activation systems
 </li>
 <li>
 Sales &amp; Revenue Data Pipelines
 </li>
 <li>
 Integrate multiple sources (CRM, call platforms, marketing automation, product usage) to create unified go-to-market performance metrics and dashboards
 </li>
 <li>
 Manage pipelines that process unstructured data (sales calls, webscraped data) using generative AI to produce structured insights, summaries, and performance feedback for revenue teams
 </li>
 <li>
 Product &amp; Customer Experience Data
 </li>
 <li>
 Build data flows that push insights and custom datasets into our product &mdash; powering features like dynamic menus, AI-driven recommendations, and personalized push notifications
 </li>
 <li>
 Collaborate with product managers and engineers to ensure real-time data supports key customer experiences
 </li>
 <li>
 Insights &amp; Analysis
 </li>
 <li>
 Conduct ad-hoc and automated analysis to uncover trends, patterns, and opportunities in marketing and sales performance
 </li>
 <li>
 Partner with marketing and sales leadership to design and execute experiments, tests, and causal analyses that measure the impact of campaigns, content, and channels
 </li>
 <li>
 Act as a bridge between data and business &mdash; helping non-technical stakeholders understand data in clear, actionable ways
 
 
 
 
 
 </li>
 </ul>
 
 What You Need:
 
 
 
 <ul>
 <li>
 3+ years of experience in data engineering, analytics, or marketing technology
 </li>
 <li>
 Proficiency in SQL and Python
 </li>
 <li>
 Proven experience developing scalable data pipelines for ingesting and synchronizing high-volume data through third-party APIs
 </li>
 <li>
 Experience with modern data stacks (e.g., Databricks, dbt, Airflow, Fivetran, Snowflake, or similar)
 </li>
 <li>
 Hands-on experience integrating APIs for ad platforms, marketing automation, or CRM systems
 </li>
 <li>
 Familiarity with AI and NLP pipelines is a strong plus
 </li>
 <li>
 Strong communication skills &mdash; able to explain complex systems and insights to marketing and sales leaders
 </li>
 <li>
 Business-level English speaking and writing skills
 </li>
 <li>
 Ability to work during US Eastern business hours.
 </li>
 <li>
 Curiosity, initiative, and a desire to understand how marketing and sales activities translate into business outcomes
 
 
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Monks

<div>
 Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
 
 
 
 About The Role
 
 
 
 As a Data Scientist at Monks, you will work on designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models aimed at optimising marketing effectiveness. You will collaborate closely with senior data scientists to build scalable solutions, leveraging public cloud platforms such as GCP, AWS, or Azure.
 
 
 You should have a strong foundation in data literacy and the ability to interpret technical concepts into practical business insights. Ideally, you have some experience in marketing or product data science, coupled with a strong foundation of machine learning, statistics, and cloud technologies. While the role mainly focuses on data science, it also offers opportunities to tap into data engineering projects.
 
 
 This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Solutions Engineering teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about pushing the boundaries of what&rsquo;s possible, we encourage you to apply!
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Assist in designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models on cloud platforms such as AWS and GCP.
 </li>
 <li>
 Support the development and implementation of predictive models, such as propensity and churn models, to drive predictive insights and enhance decision-making.
 </li>
 <li>
 Contribute to the design of GenAI architectures using APIs like ChatGPT and Gemini, integrated with LangChain libraries.
 </li>
 <li>
 Write SQL queries to extract insights from large datasets
 </li>
 <li>
 Conduct statistical analysis, including A/B testing.
 </li>
 <li>
 Support in API authentication and automating ETL processes for data integration and transformation in cloud environments.
 </li>
 <li>
 Contribute in implementing and managing data models using tools like dbt and Dataform to convert raw data into structured formats for data warehousing and machine learning applications.
 </li>
 <li>
 Learn to navigate the lifecycle of a data science project, understanding trade-offs between model accuracy, deployment cost, and data availability.
 </li>
 <li>
 Follow and contribute to the documentation and best practices for building and deploying machine learning models to ensure consistency and scalability.
 </li>
 <li>
 Communicate basic technical concepts and results to both technical and non-technical stakeholders, including clients.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 The essentials:
 
 
 
 <ul>
 <li>
 Bachelor or Masters in a quantitative subject such as Data Science, Computer Science, Mathematics, Statistics, or a related field.
 </li>
 <li>
 1+ years of working experience in data science or data engineering or a related field.
 </li>
 <li>
 Familiarity in designing and deploying cloud solutions on platforms such as GCP or AWS.
 </li>
 <li>
 Associate Cloud Certification such as GCP Cloud Architect, Data Engineer, or any equivalent.
 </li>
 <li>
 Strong proficiency in Python and SQL.
 </li>
 <li>
 Solid understanding of statistics, machine learning algorithms and Gen-AI applications, with a strong interest in learning more.
 </li>
 <li>
 Good understanding of APIs, including authentication methods (e.g., API keys, OAuth), with a curiosity to explore and troubleshoot.
 </li>
 <li>
 Awareness of data modelling tools such as dbt or Dataform.
 </li>
 <li>
 Good understanding of data warehousing and ETL concepts, with exposure to tools like Amazon Redshift or Google BigQuery being beneficial.
 </li>
 <li>
 Fluent English communication and written skills.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to work independently and in a team environment.
 
 
 
 </li>
 </ul>
 
 Not a Must, But a Plus
 
 
 
 
 <ul>
 <li>
 Bachelor or Masters Degree in Data Science.
 </li>
 <li>
 Previous agency or consultancy experience is a plus.
 </li>
 <li>
 Professional Cloud Certification.
 </li>
 <li>
 Familiarity with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics).
 </li>
 <li>
 Awareness of MLOps, CI/CD and version control tools.
 </li>
 <li>
 Familiarity with social data (e.g. Instagram, Facebook, Tiktok).
 </li>
 <li>
 Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.
 </li>
 <li>
 Experience with Looker Studio or any visualisation tool.
 
 
 
 </li>
 </ul>
 At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.
 
 
 
 About Monks
 
 
 
 Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI&mdash;managed by the industry&rsquo;s best and most diverse digital talent&mdash;to help the world&rsquo;s trailblazing companies outmaneuver and outpace their competition.
 
 
 Monks was named a Contender in The Forrester Wave&trade;: Global Marketing Services. It has remained a constant presence on Adweek&rsquo;s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger&rsquo;s Programmatic Power Players list every year (2020-24). In addition to being named Adweek&rsquo;s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek&rsquo;s Top 100 Global Most Loved Workplaces 2023.
 
 
 We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents&mdash;and resonates with&mdash;the world around us.
 
 
</div>

Data Scientist

<div>
 
 
 Company Description
 
 
 
 
 
 
 TP is a global digital business services company with both global scale and local presence. We support our communities, clients, and the environment through our advanced, digitally powered business services. TP partners with some of the world&rsquo;s best brands, helping them streamline their business operations in meaningful and sustainable ways.
 
 
 
 
 
 
 Job description:
 
 
 
 
 
 
 
 The Data Engineer
 
 is an analytics specialist in the business, focusing on the management of data from multiple sources and providing data-driven insights for relevant departments. Ensures that collected data is relevant and exhaustive and interprets the analytics results. Ensures that the data collected is relevant and exhaustive and interprets the results of the analysis. Is a data analyst who transforms data into information, information into insights and insights into business decisions. The Data Engineer supports Operation Data Analysis and Data Science teams, by building scalable and dynamic data structures, optimized towards dashboard development, data analysis and models creation and deployment.
 
 
 
 
 
 
 Key responsibilities and Accountabilities:
 
 
 
 
 
 
 The Data Engineer ensures implementation and continuous improvement of needed infrastructure towards the Data Analytics needs:
 
 
 
 
 <ul>
 <li>
 Business analysis of on-going projects, source mapping and data integration in order to upgrade operations' BI processes.
 </li>
 <li>
 Create and maintain optimal data pipeline architectures for report development.
 </li>
 <li>
 Support Data Scientists and Analysts with data pipelines, allowing advanced analytics and data products.
 </li>
 <li>
 Support the implementation team on complex data sources integration: interpretation and analysis of data structures, Proficiency with hands on Experience in
 
 Azure Data Bricks Tools
 
 and
 
 DevOps Pipeline Development.
 
 </li>
 <li>
 Ensure all Teleperformance processes, procedures and policies are fulfilled, including but not limited to GDPR - General Data Protection Regulation, GECSP - Global Essential Compliance, Information Security Policies, HR, etc;
 </li>
 <li>
 Be an active part in the processes of continuous improvement, reporting all improvement opportunities and contributing on a daily basis to inform all operational coordination about the issues that may need an adjustment and proposing innovations methods across the department and the company (producing fresh and imaginative ideas and solutions).
 </li>
 <li>
 Work close with Data Scientists on end-to-end product development.
 </li>
 <li>
 Follow industry trends ensuring we are using up to date and optimal technology.
 </li>
 <li>
 Can be responsible to approve the activities in the ROP (Data Mapping Questionnaire), inserted by the team under its responsibility (GDPR Scope).
 </li>
 <li>
 Can be responsible to create and upload (or to ensure the completion by a designated employee) new activities in the ROP (Records of Processing) according to GDPR legislation in force.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Education and specific Training:
 
 
 
 
 
 
 Higher Education Degree (Engineering, Mathematics or Computer Sciences - preferred).
 
 
 
 Fluency in English is (Mandatory).
 
 
 
 
 
 
 
 Work Experience:
 
 
 
 
 
 
 Data Engineer, Especially with Hands on Experience in
 
 Data Bricks Tools
 
 for +2 Years and also in
 
 DevOps Pipeline Development.
 
 
 
 
 
 
 
 Experience on Contact Centers and shared services for international markets and/or related industries (preferential).
 
 
 
 
 
 
 Technical Skills Highly skilled in:
 
 
 
 MSSQL and SSIS; Database Arquitecture, Datawarehouse, OLAP / Cubes; Dominates a vast set of tools / software / programming languages for consultation and data analysis, as for example and without exclusion of others: PowerPoint, Excel, PowerPivot, Power Query, Power BI, Access, Visual Basic, OLAP Cubes, MDX, Python
 
 
</div>

Senior Data Engineer II

Halan - حالا

<div>
 
 Job Overview:
 
 
 We are seeking a talented and motivated Senior Data Engineer with expertise in Scala and Python to join our data engineering team. This individual will play a key role in the design, development, and optimization of our data infrastructure and data pipelines. The ideal candidate has a passion for building scalable, high-performance systems and is eager to broaden their knowledge across the entire data engineering stack, from hardware infrastructure to project development.
 
 
 Key responsibilities:
 
 
 &bull; Collaborate with cross-functional teams to design, develop, and maintain data engineering solutions using Scala, Python, and Apache Spark.
 
 
 &bull; Implementation of new data engineering technologies, frameworks, and tools, such as HDFS, MongoDB, and PostgreSQL, to enhance performance, scalability, and efficiency.
 
 
 &bull; Understand and optimize hardware and resource consumption for data engineering projects.
 
 
 &bull; Develop a deep understanding of hardware infrastructure, including servers, clusters, and distributed systems, to ensure optimal data processing and storage.
 
 
 &bull; Design and architect high-performance, fault-tolerant, and scalable data pipelines.
 
 
 &bull; Conduct research and stay current with the latest advancements in data engineering, hardware technologies, and distributed computing paradigms.
 
 
 &bull; Mentor and guide junior team members, fostering a culture of continuous learning and skill development.
 
 
 &bull; Collaborate with stakeholders to gather requirements, propose technical solutions, and deliver high-quality data engineering projects.
 
 
 Requirements:
 
 
 &bull; 4+ years of professional experience as a Software Engineer, with a focus on data engineering.
 
 
 &bull; Keen interest in hardware infrastructure, resource consumption optimization, and data engineering project development.
 
 
 &bull; Proven ability to work effectively in an Agile development environment and manage multiple priorities.
 
 
 &bull; Strong problem-solving, analytical thinking, communication, and collaboration skills.
 
</div>

Senior Data Engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Data Warehouse, Business Intelligence, Computer Science, Quality Assurance, Project Manager, Technology
</div>

Data Engineer (m/f/d)

FineTech Integrated Solutions

<div>
 
 
 Company Description
 
 
 
 We suggest you enter details here.
 
 
 
 
 
 
 Role Description
 
 
 
 This is a full-time on-site role for a Procurement Engineer located in Qesm 1st Nasser City. The Procurement Engineer will oversee supplier evaluation, manage purchase orders, and handle requests for quotations (RFQs). The role involves collaborating with internal teams, analyzing procurement needs, and ensuring cost-effective and timely acquisition of materials and services.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Experience in supplier evaluation and managing requests for quotations (RFQs)
 </li>
 <li>
 Proficiency in preparing and processing purchase orders
 </li>
 <li>
 Minimum of 1-5 years of Procurement Engineer experience in the pumps and water treatment
 </li>
 <li>
 Strong analytical skills for data evaluation and decision-making
 </li>
 <li>
 Excellent communication skills for liaising with suppliers and cross-functional teams
 </li>
 <li>
 Familiarity with procurement software and tools is a plus
 </li>
 <li>
 Bachelor's degree in Mechanical Engineering, Supply Chain Management, or a related field
 </li>
 <li>
 Ability to work on-site and within a collaborative team environment
 </li>
 </ul>
</div>

Procurement Engineer

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798 marketing data engineer jobs IN Cairo

Marketing Data Engineer

Marketing Data Engineer

Data Scientist

Senior Data Engineer II

Senior Data Engineer

Data Engineer (m/f/d)

Procurement Engineer