Qureos Mentor

Ninja 🥷🏽 نينجا

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 We are looking for a Data Warehouse Engineer (f/m/d) to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.
 
 
 If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.
 
 
 
 Responsibilities:
 
 
 
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 Design, develop, and maintain scalable data warehouse solutions that support our rapidly growing international business
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 Build and evolve our enterprise data warehouse to enable advanced analytics, reporting, and data-driven decision-making across the organization
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 Develop and optimize ETL/ELT pipelines for batch and near real-time data processing
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 Support analytical and machine learning workflows by providing reliable and well-structured datasets
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 Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., Google Analytics, BigQuery, Google Ads, Adjust, PostgreSQL, MySQL, and others)
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 Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards
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 Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability
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 Evaluate and recommend new technologies, tools, and architectural approaches to enhance our data ecosystem
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 Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization
 
 
 
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 Requirements
 
 
 
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 2+ years of professional experience in Data Engineering, Data Warehousing, or a related field
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 Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline
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 Strong expertise in SQL and relational database concepts, including data modeling and query optimization
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 Experience designing and maintaining data warehouse architectures
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 Hands-on experience with columnar databases and performance optimization techniques
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 Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow
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 Solid programming skills in Python or Java, with a preference for Python
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 Good understanding of Linux environments and scripting (Bash)
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 Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies
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 Familiarity with data integration, ETL/ELT frameworks, and large-scale data processing
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 Strong communication skills in English
 
 
 
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 What Makes You Successful
 
 
 
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 You are a proactive problem solver who enjoys tackling complex technical challenges
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 You have a strong attention to detail and a passion for building reliable, high-quality data solutions
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 You take ownership of your work and can operate independently when needed
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 You are collaborative, curious, and enjoy sharing knowledge with others
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 You think beyond immediate requirements and continuously look for opportunities to improve systems, processes, and technologies
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Data Warehouse Engineer (f/m/d)

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 About the Role:
 
 
 
 We are looking for an AI Product Owner to lead our new AI agent products. You will sit between business and tech teams. You will turn big ideas into working, autonomous AI tools.
 
 
 You must have a strong technical background. You should know how to build with Python. You also need to understand how AI agents think, use tools, and solve multi-step problems.
 
 
 
 Responsibilties:
 
 
 
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 Setting the Product Vision: Create the roadmap for our AI agents and automated workflows
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 Talking Tech with Engineers: Use your Python and AI knowledge to help developers make choices about cost, speed, and accuracy
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 Writing Technical Stories: Turn business needs into clear tasks, user stories, and code requirements for agile sprints
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 Keeping Agents Safe: Build tests and guardrails to make sure our AI systems are accurate, safe, and helpful
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 Tracking Success: Look at user feedback and data to find ways to make our AI agents smarter and faster
 
 
 
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 Requirements
 
 
 
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 to be able to work onsite in our Riyadh office
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 Python Skills: Real experience writing or reading Python code
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 Agentic Tech Knowledge: Experience using AI tools like LangGraph, CrewAI, AutoGen, or RAG systems
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 Product Experience: Experience at managing tech products or working as a lead software engineer
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 Clear Communication: The ability to explain complex AI models to business teams in simple terms
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 Problem-Solving Mindset: Comfort with the experimental and fast-changing world of Generative AI
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AI Product Owner (Agentic Systems & Python)

Join Ninja 🥷🏽 نينجا and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Ninja 🥷🏽 نينجا

About Company

Data Warehouse Engineer (f/m/d)

AI Product Owner (Agentic Systems & Python)