data engineer

senior data scientist

ai data engineer, ai4all

data analyst

senior data analyst

data scientist

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Systems Limited - Egypt

<div>
 
 
 About the Role:
 
 
 
 We are seeking a highly skilled
 
 Technical Product Owner
 
 with deep expertise in
 
 Data &amp; AI
 
 to lead the development of innovative data-driven products and AI solutions. You will bridge the gap between business stakeholders and engineering teams, ensuring that our data initiatives align with strategic objectives and deliver measurable impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Act as the
 
 Product Owner
 
 for Data &amp; AI initiatives, managing the
 
 product backlog
 
 , prioritizing features, and defining user stories.
 </li>
 <li>
 Collaborate closely with
 
 Data Engineers, Data Scientists, and AI teams
 
 to translate business requirements into technical solutions.
 </li>
 <li>
 Drive the
 
 end-to-end lifecycle
 
 of AI/ML and data products, from ideation and requirements gathering to deployment and monitoring.
 </li>
 <li>
 Ensure alignment of data strategies with
 
 business objectives
 
 , including analytics, predictive modeling, and AI use cases.
 </li>
 <li>
 Define
 
 technical product roadmaps
 
 and drive adoption of best practices in data architecture, governance, and AI deployment.
 </li>
 <li>
 Collaborate with
 
 stakeholders
 
 to understand their needs and translate them into actionable features.
 </li>
 <li>
 Measure product performance using relevant KPIs and iterate on features for continuous improvement.
 </li>
 <li>
 Stay abreast of the
 
 latest trends in AI, machine learning, and data technologies
 
 , evaluating opportunities for innovation.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Computer Science, Data Science, AI, Engineering, or related field
 
 .
 </li>
 <li>
 3_4 Proven experience as a
 
 Technical Product Owner
 
 in
 
 data-intensive or AI-focused projects
 
 .
 </li>
 <li>
 Strong understanding of
 
 data engineering, AI/ML models, data pipelines, cloud data platforms (AWS, Azure, GCP)
 
 .
 </li>
 <li>
 Experience with
 
 analytics, AI/ML frameworks (TensorFlow, PyTorch, scikit-learn), and data visualization tools
 
 .
 </li>
 <li>
 Solid knowledge of
 
 agile methodologies
 
 , backlog management, and working with cross-functional teams.
 </li>
 <li>
 Excellent
 
 communication skills
 
 to bridge technical and business conversations.
 </li>
 <li>
 Strong problem-solving skills and the ability to make
 
 data-driven product decisions.
 
 </li>
 </ul>
 
 
 
</div>

Technical Product Owner – Data & AI

Nawy

<div>
 Nawy Proptech is in search of a highly motivated and talented Data Engineer to become a valuable addition to our dynamic team. As a Data Engineer at Nawy, you will play a key role in data management, ensuring data quality, integrity, and modeling. We are seeking an individual with a strong technical background, hands-on experience with data processing technologies, and a passion for building robust and efficient data solutions.
 
 
 <ul>
 <li>
 Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions
 </li>
 <li>
 Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure
 </li>
 <li>
 Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIs
 </li>
 <li>
 Optimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data
 </li>
 <li>
 Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity
 </li>
 <li>
 Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities
 </li>
 <li>
 Perform data modeling and schema design to support analytical and reporting requirements
 </li>
 <li>
 Design and build data marts and business layers to facilitate efficient data access and analysis
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Systems, or other related technical field or equivalent work
 </li>
 <li>
 Proven experience as a Data engineer or similar role, with at least 1 years of experience
 </li>
 <li>
 Advanced SQL knowledge/experience - complex queries and query optimization
 </li>
 <li>
 Proficiency in programming languages such as Python
 </li>
 <li>
 Experienced in the development of data warehouses and proficient in data modeling
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
 </li>
 <li>
 Experience in building data streams using technologies such as Kafka, Flink, or Spark Streaming is considered a plus
 </li>
 <li>
 Strong problem-solving skills and attention to detail
 </li>
 <li>
 The ability and willingness to learn new technologies on the job
 </li>
 <li>
 Self driven, highly motivated, fast learner, ambitious and creative
 </li>
 </ul>
</div>

Data Engineer

Henkel

<div>
 
 About this Position
 
 The Data Engineer supports the development and operation of Henkel&rsquo;s enterprise metadata platform, DataHub. The role focuses on building scalable data engineering and governance solutions that connect key enterprise platforms into one centralized ecosystem serving global data consumers.
 
 
 As part of a hands-on engineering environment, the position contributes to data quality, automation, and cloud-based capabilities that strengthen how data is discovered, understood, and trusted across Henkel.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Build and maintain scheduled metadata ingestion pipelines integrating platforms such as Databricks Unity Catalog, Power BI, SAP, and Azure Synapse into DataHub
 </li>
 <li>
 Support and enhance governance automation solutions covering dataset compliance, ownership, descriptions, lineage, and automated tagging
 </li>
 <li>
 Develop and improve data quality and completeness scoring capabilities across the enterprise data landscape
 </li>
 <li>
 Work directly with DataHub SDKs, REST APIs, and GraphQL APIs to support metadata operations and integrations
 </li>
 <li>
 Contribute to AI-enabled metadata access capabilities supporting intelligent assistants and modern AI solutions
 </li>
 <li>
 Build and maintain data lineage between source systems and downstream consumers
 </li>
 <li>
 Develop scalable cloud-native solutions running on Azure Kubernetes Service (AKS)
 </li>
 <li>
 Collaborate with global and cross-functional teams to support scalable and reliable enterprise data solutions
 </li>
 <li>
 Support engineering best practices including testing, monitoring, and continuous platform enhancements
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 </li>
 <li>
 Strong experience with Python and SQL, including working with analytical databases such as PostgreSQL or Databricks
 </li>
 <li>
 Experience building and maintaining scalable and scheduled data pipelines, including automation, error handling, and reliability practices
 </li>
 <li>
 Understanding of REST APIs, GraphQL, and system integrations
 </li>
 <li>
 Experience with cloud platforms and services, preferably Microsoft Azure and Databricks
 </li>
 <li>
 Familiarity with containerization technologies and Kubernetes-based environments
 </li>
 <li>
 Experience with metadata platforms or data governance solutions such as DataHub or similar tools is considered a plus
 </li>
 <li>
 Familiarity with CI/CD pipelines, infrastructure automation, and modern engineering practices is an advantage
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 </li>
 <li>
 Ability to work independently and collaborate effectively with technical and non-technical stakeholders
 </li>
 <li>
 Passion for data quality, governance, automation, and scalable engineering solutions
 </li>
 <li>
 Comfortable working with modern technologies, open-source solutions, and continuously learning new concepts and tools
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Global wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Programme provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</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 Analyst at Monks, you will work on designing, implementing, and maintaining robust data foundations that enable our clients to better understand marketing and product performance. You will help ensure that tracking, measurement, and analytics setups are accurate, scalable, and reliable, using tools such as Google Tag Manager, Google Analytics 4, Amplitude, Adobe Customer Journey Analytics, Adobe Launch, Piano Analytics, Firebase, and GCP. You will also be at the forefront of AI-driven innovation, helping to develop AI-powered automations and workflows that make data more accessible, actionable, and ready to support advanced analytics and machine learning initiatives.
 
 
 You should have a strong foundation in data literacy and the ability to translate technical requirements into practical business insights. Ideally, you have experience working with marketing, product, or digital analytics data, along with a solid understanding of data collection, tagging, measurement frameworks, data quality, and cloud technologies. While the role mainly focuses on analytics and data foundations, it also offers opportunities to contribute to AI automation, data engineering, and machine learning enablement 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>
 Translate business requirements into technical requirements (measurement plans) and follow through with project execution
 </li>
 <li>
 Implement Analytics and/or Marketing tags through any given tag management tool (Google Tag Manager)
 </li>
 <li>
 Collaborate across client&rsquo;s global teams on the execution of analytics projects
 </li>
 <li>
 Ensure accountability across project teams delivering quality and timeliness and work to exceed baseline-level content and deadlines across defined scopes of work as well as new opportunities
 </li>
 <li>
 Support the Monks Data Team to improve service delivery capabilities and identify project growth opportunities
 </li>
 <li>
 Eager to develop and build AI automations in the analytics space
 </li>
 <li>
 Write simple SQL queries in cloud platforms to extract insights from large datasets
 </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's or Master's in a quantitative subject such as Computer Science or a related field.
 </li>
 <li>
 1+ years of working experience in data analytics or a related field.
 </li>
 <li>
 A good understanding of Google BigQuery is 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>
 <li>
 Strong data analysis abilities (knowledge of Python/JavaScript very beneficial)
 </li>
 <li>
 Strong analytical and consulting skills, rooted in the ability to draw and communicate insights from multiple data points
 </li>
 <li>
 Excellent consultative approach to developing and managing business relationships
 </li>
 <li>
 Ambition to perform unprecedented tasks and obtain new skills, be comfortable with uncertainty and adapt to a rapidly changing environment
 </li>
 <li>
 Ability and desire to scale knowledge and learning to other junior (and at times senior) team members
 
 
 
 </li>
 </ul>
 
 Not a Must, But a Plus
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's Degree in Computer Science.
 </li>
 <li>
 Previous agency or consultancy experience is a plus.
 </li>
 <li>
 GA4 Certification.
 </li>
 <li>
 Experience with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics).
 </li>
 <li>
 Familiarity with social data and AI tools (e.g. Instagram, Facebook, TikTok, ChatGPT, Claude, Gemini, etc).
 </li>
 <li>
 Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.
 </li>
 <li>
 Experience with Data 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, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.
 
 
 Monks was named a Contender in The Forrester Wave&trade;: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger&rsquo;s Programmatic Power Players list every year (2020-24). Named Adweek&rsquo;s first AI Agency of the Year (2023) and The One Show&rsquo;s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group&rsquo;s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato&rsquo;s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.
 
 
 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 Analyst

Future Group Language Solutions

<div>
 
 About The Role
 
 
 
 We are looking for an
 
 Applied AI Engineer
 
 to design, build, and deploy intelligent AI solutions that solve real business challenges. In this role, you'll work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GraphRAG, AI agents, and knowledge graphs to create scalable, production-ready AI applications.
 
 
 This is an
 
 AI-first engineering role
 
 , where leveraging AI development tools such as ChatGPT, Cursor, GitHub Copilot, Claude, or Windsurf is an essential part of the development workflow.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy AI-powered applications using LLMs.
 </li>
 <li>
 Build and optimize RAG and GraphRAG pipelines.
 </li>
 <li>
 Develop AI agents and multi-agent workflows for business automation.
 </li>
 <li>
 Design and manage knowledge graphs using GraphDB technologies.
 </li>
 <li>
 Integrate enterprise data sources with AI applications.
 </li>
 <li>
 Engineer prompts, workflows, and agent orchestration for reliable AI systems.
 </li>
 <li>
 Evaluate and optimize AI models for quality, latency, scalability, and cost.
 </li>
 <li>
 Build production-ready APIs and AI services.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver AI-driven products.
 </li>
 <li>
 Stay up to date with the latest AI models, frameworks, and best practices.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, AI, or a related field.
 </li>
 <li>
 3+ years of experience developing AI-powered or data-intensive applications.
 </li>
 <li>
 Strong proficiency in Python.
 </li>
 <li>
 Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, or similar).
 </li>
 <li>
 Experience implementing Retrieval-Augmented Generation (RAG).
 </li>
 <li>
 Experience with Graph Databases such as Neo4j, Amazon Neptune, Memgraph, or GraphDB.
 </li>
 <li>
 Familiarity with vector databases such as Pinecone, Qdrant, Weaviate, Milvus, or pgvector.
 </li>
 <li>
 Experience integrating AI models through APIs and SDKs.
 </li>
 <li>
 Solid understanding of REST APIs, Git, Docker, and cloud platforms (Azure, AWS, or GCP).
 </li>
 <li>
 Strong analytical, debugging, and problem-solving skills.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with GraphRAG architectures.
 </li>
 <li>
 Knowledge of AI agent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK.
 </li>
 <li>
 Experience with Model Context Protocol (MCP).
 </li>
 <li>
 Prompt engineering and AI evaluation frameworks.
 </li>
 <li>
 Knowledge of semantic search and hybrid retrieval.
 </li>
 <li>
 Experience with FastAPI, Django, or Flask.
 </li>
 <li>
 Familiarity with Kubernetes, CI/CD pipelines, and microservices.
 </li>
 <li>
 Experience building knowledge graphs and ontology design.
 
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to build cutting-edge AI products.
 </li>
 <li>
 Collaborative and innovative engineering environment.
 </li>
 <li>
 Exposure to the latest AI technologies and frameworks.
 </li>
 <li>
 Professional growth and continuous learning opportunities.
 </li>
 <li>
 Competitive salary and benefits package.
 
 
 
 </li>
 </ul>
 Join Our Team
 
 
 If you're passionate about building practical AI applications, enjoy working with the latest AI technologies, and thrive in an AI-first development environment, we'd love to hear from you!
</div>

Applied AI Engineer (AI-First / Vibe Coding)

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design end-to-end differentiable systems that jointly optimize sensor control, illumination patterns, and perception tasks (detection, segmentation)
 </li>
 <li>
 Develop domain adaptation techniques enabling synthetic-to-real transfer without retraining.
 </li>
 <li>
 Implement energy-aware AI models balancing perception quality with power constraints for embedded automotive deployment.
 </li>
 <li>
 Validate systems through real-world vehicle testing across diverse environmental conditions.
 </li>
 <li>
 Publish research at top-tier conferences (CVPR, ICCV, NeurIPS) while delivering production-ready solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related field.
 </li>
 <li>
 3+ years developing and deploying deep learning and reinforcement learning models
 </li>
 <li>
 Expert-level deep learning (PyTorch/TensorFlow) with custom architecture design.
 </li>
 <li>
 Strong background in object detection, semantic segmentation, neural rendering.
 </li>
 <li>
 Experience with domain adaptation, self-supervised learning, and model optimization for
 </li>
 <li>
 edge devices.
 </li>
 <li>
 Familiarity with ROS, simulation environments (CARLA, Applied Intuition, NVIDIA), and 3D
 </li>
 <li>
 rendering engines.
 </li>
 <li>
 Experience with automotive perception datasets (nuScenes, Waymo Open, KITTI) and
 </li>
 <li>
 benchmarks.
 </li>
 <li>
 Hands-on experience with automotive sensors (cameras, LiDAR, radar, thermal imaging).
 </li>
 <li>
 Knowledge of closed-loop control integration with neural networks.
 </li>
 <li>
 Proficiency in Python, C++, and CUDA programming.
 </li>
 </ul>
</div>

AI Engineer, LIGHT

Explore 82+ Data scientist in Cairo this August. Find roles across top companies and apply now to boost your career.

82 data scientist jobs In Cairo

Data Scientist / Senior Machine Learning Engineer

Technical Product Owner – Data & AI

Data Engineer

Data Engineer

Data Analyst

Applied AI Engineer (AI-First / Vibe Coding)

AI Engineer, LIGHT