Jobgether تعلن عن وظيفة مهندس برمجيات أول (بيانات) في السعودية
Senior Software Engineer (Data)
تفاصيل الوظيفة
Jobgether، بالنيابة عن شركة شريكة، تبحث عن Senior Software Engineer (Data) في السعودية. هذه فرصة للانضمام إلى فريق هندسي صغير ومستقل يعمل على بناء منتجات تساعد المؤسسات على فهم وتحسين تكاليف البيانات السحابية.
المهام والمسؤوليات
- تصميم وبناء إمكانيات منتج جديدة تركز على إدارة تكاليف البيانات، بما في ذلك التنبؤ، كشف الشذوذ، توزيع التكاليف، وسير العمل ذات الصلة.
- تطوير حلول موثوقة وقابلة لإعادة الاستخدام في الخلفية وهندسة البيانات تقدم رؤى قابلة للتنفيذ للعملاء.
- بناء خطوط بيانات ونماذج تحويل تدعم إمكانيات المنتج الجديدة وتحدد فرص التحسين.
- إنشاء وتحسين ميزات تصور البيانات التي تنقل الأداء، توقيت الاستعلامات، الكفاءة، والمقاييس الهامة الأخرى بوضوح.
- تطوير مكونات واجهة مستخدم متينة وقابلة لإعادة الاستخدام تساهم في تجربة منتج سلسة وبديهية.
- تحسين موثوقية التطبيق، قابلية التوسع، والأداء من خلال ممارسات هندسية مدروسة وتصميم النظم.
- امتلاك الميزات من البداية إلى النهاية، من تحديد المشكلات وصياغة المتطلبات إلى التصميم الفني، التنفيذ، الاختبار، والإصدار.
- تقييم المفاضلات التقنية والمنتجة لتحديد أولويات الحلول عالية التأثير وتقديم قيمة ملموسة للعملاء بكفاءة.
- التعاون الوثيق مع المهندسين وأصحاب المصلحة عبر مقترحات واضحة، توثيق، مراجعات الكود، الاختبار، والتواصل الفعال.
- المساهمة في ثقافة تنفيذ عملية، تحسين مستمر، وجودة هندسية قوية.
الشروط والمتطلبات
- 5+ سنوات من الخبرة ذات الصلة في هندسة البرمجيات، مع خبرة قوية في تطوير الخلفية وهندسة البيانات.
- مهارات تواصل قوية باللغة الإنجليزية كتابةً وتحدثاً، مع القدرة على التعاون بفعالية في بيئة موزعة.
- قدرة مثبتة على العمل بشكل مستقل، وتحمل المسؤولية، والالتزام بالنتائج من المفهوم الأولي إلى التسليم.
- مهارات تحليلية قوية وحل المشكلات، مع حكم سليم عند الموازنة بين السرعة، العمق الفني، وتأثير العملاء.
- الراحة في العمل في بيئة سريعة ومتطورة حيث قد تتغير الأولويات والمتطلبات.
- مهارات تعاون قوية والالتزام بكود قابل للقراءة والصيانة، توثيق واضح، واختبار شامل.
- نهج استباقي، فضولي، وإيجابي تجاه الهندسة، مع حماس حقيقي لحل المشكلات الصعبة.
- الأفضلية لمن لديه معرفة بـ FinOps، إدارة تكاليف البنية التحتية السحابية، إدارة مستودعات البيانات، أو المراقبة.
- الأفضلية لمن لديه خبرة سابقة في العمل في شركة ناشئة في مرحلة مبكرة أو بيئة هندسية مشابهة.
المهارات المطلوبة
- إتقان قوي لـ Python، FastAPI، PostgreSQL، dbt، Dagster، وSnowflake.
- فهم متين لتصميم النظم والقدرة على تطوير حلول تقنية قابلة للتوسع وموثوقة.
- خبرة في بناء خطوط البيانات، سير عمل التحويل، خدمات الخلفية، وإمكانيات المنتج القائمة على البيانات.
المزايا
- راتب أساسي يصل إلى 180,000 دولار كندي، مع فرص تعويض إضافية.
- بيئة عمل عن بعد بالكامل وموزعة مع مرونة لتنظيم العمل حول الالتزامات الشخصية.
- مستوى عالٍ من الاستقلالية والملكية على القرارات التقنية، تطوير المنتج، وتسليم الميزات.
- فرصة للعمل عن كثب مع مهندسين ذوي خبرة وأعضاء الفريق المؤسس.
- تأثير كبير على كل من الخريطة التقنية واتجاه المنتج.
- دعم للتطوير المهني والشخصي، بما في ذلك فرص لتوسيع المهارات التقنية.
- ثقافة تعاونية وريادية تقدر الفضول، العملية، المرونة، والتوازن بين العمل والحياة.
- فرصة للمساهمة في منتج متنامٍ يركز على حل تحديات تكاليف وتحسين البيانات السحابية المعقدة.
عرض النص الأصلي للإعلان
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer (Data) based in Saudi Arabia.
This is an opportunity to join a lean, autonomous engineering team building products that help organizations better understand and optimize cloud data costs.
You’ll play a key role in designing and delivering new capabilities across backend systems, data engineering, visualization, and cost-management workflows.
The position offers meaningful ownership, with the opportunity to shape technical direction and influence the product roadmap.
You’ll work closely with experienced engineers and founding team members in a fast-moving environment where pragmatic decisions and customer impact matter.
From data pipelines and transformation models to resilient application components, your work will directly improve the product experience.
The role is ideal for a self-directed engineer who enjoys solving complex problems, moving quickly, and owning features from concept through release.
You’ll also have the flexibility and autonomy of a distributed team that values collaboration, continuous learning, and sustainable ways of working.
Accountabilities
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
This is an opportunity to join a lean, autonomous engineering team building products that help organizations better understand and optimize cloud data costs.
You’ll play a key role in designing and delivering new capabilities across backend systems, data engineering, visualization, and cost-management workflows.
The position offers meaningful ownership, with the opportunity to shape technical direction and influence the product roadmap.
You’ll work closely with experienced engineers and founding team members in a fast-moving environment where pragmatic decisions and customer impact matter.
From data pipelines and transformation models to resilient application components, your work will directly improve the product experience.
The role is ideal for a self-directed engineer who enjoys solving complex problems, moving quickly, and owning features from concept through release.
You’ll also have the flexibility and autonomy of a distributed team that values collaboration, continuous learning, and sustainable ways of working.
Accountabilities
- Design and build new product capabilities focused on data cost management, including forecasting, anomaly detection, cost allocation, and related workflows.
- Develop reliable and reusable backend and data-engineering solutions that surface actionable insights for customers.
- Build data pipelines and transformation models that support new product capabilities and identify opportunities for optimization.
- Create and improve data visualization features that communicate performance, query timing, efficiency, and other important metrics clearly.
- Develop resilient, reusable UI components that contribute to a smooth and intuitive product experience.
- Improve application reliability, scalability, and performance through thoughtful engineering practices and system design.
- Own features end to end, from identifying problems and shaping requirements through technical design, implementation, testing, and release.
- Evaluate technical and product tradeoffs to prioritize high-impact solutions and deliver meaningful customer value efficiently.
- Collaborate closely with engineers and senior stakeholders through clear proposals, documentation, code reviews, testing, and effective communication.
- Contribute to a culture of pragmatic execution, continuous improvement, and strong engineering quality.
- 5+ years of relevant software engineering experience, with strong expertise in backend development and data engineering.
- Strong working knowledge of Python, FastAPI, PostgreSQL, dbt, Dagster, and Snowflake.
- Solid understanding of system design and the ability to develop scalable, reliable technical solutions.
- Experience building data pipelines, transformation workflows, backend services, and data-driven product capabilities.
- Strong written and verbal English communication skills, with the ability to collaborate effectively in a distributed environment.
- Demonstrated ability to work independently, take ownership, and remain accountable for outcomes from initial concept through delivery.
- Strong analytical and problem-solving skills, with sound judgment when balancing speed, technical depth, and customer impact.
- Comfortable working in a fast-moving and evolving environment where priorities and requirements may change.
- Strong collaboration skills and a commitment to readable, maintainable code, clear documentation, and thorough testing.
- A proactive, curious, and positive approach to engineering, with genuine enthusiasm for solving challenging problems.
- Familiarity with FinOps, cloud infrastructure cost management, data-warehouse management, or observability is a plus.
- Previous experience working in an early-stage startup or similarly lean engineering environment is advantageous.
- Base salary of up to $180,000 CAD, plus additional compensation opportunities.
- Fully remote and distributed working environment with flexibility to structure work around personal commitments.
- High level of autonomy and ownership over technical decisions, product development, and feature delivery.
- Opportunity to work closely with experienced engineers and founding team members.
- Meaningful influence on both the technical roadmap and product direction.
- Support for professional and personal development, including opportunities to expand technical skills.
- Collaborative, entrepreneurial culture that values curiosity, pragmatism, flexibility, and work-life balance.
- Opportunity to contribute to a growing product focused on solving complex cloud data cost and optimization challenges.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
المصدر: LinkedIn - أُضيفت للموقع في 25 أغسطس 2026