Data Pipeline Development & Infrastructure
- Design, build, and maintain scalable data pipelines
- Develop real-time and batch data processing frameworks for structured and unstructured data.
- Implement ETL/ELT workflows to ingest data from various sources, ensuring high availability and performance .
- Optimize data storage and retrieval of data in (near) real time and batch processes
- Ensure cost-efficient and high-performance data infrastructure that scales with business needs.
Data Solutions & AI-Driven Applications
- develop data pipelines for ML recommenders, search functionality, and AI-enhanced features .
- Develop and maintain data models, APIs, and integrations to support analytics and customer applications.
- Support eCommerce-related data solutions , including product recommendations, customer segmentation, and personalization models.
Collaboration & Continuous Improvement
- Work closely with Data Architects, Analysts, and Product Teams to understand data requirements and deliver best-in-class solutions.
- Monitor and troubleshoot performance issues , ensuring high availability and efficiency of data pipelines.
- Continuously optimize cost, performance, and scalability of data engineering solutions.
- 5+ years of experience as a Data Engineer , working with Azure and Databricks
- Strong expertise in data pipeline development, ETL workflows, and real-time/batch data processing .
- Experience in big data technologies, and large-scale data storage .
- Familiarity with data governance, security, and compliance best practices and tools
- Proficiency in Python, and SQL, for data transformation, data quality and automation.
- Strong experience in optimizing data performance and cost-efficiency in cloud environments .
Nice to Have
- Experience with eCommerce data solutions , such as customer segmentation, recommendation engines, and personalization models.
- Knowledge of event-driven architectures, streaming data processing, and real-time analytics .
- Familiarity with LLM-based AI applications and OpenAI or similar APIs .
Why you’ll love working here
- Impact from day one – Join a scale-up where your ideas shape how global businesses operate online.
- Continuous learning – Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
- Hybrid flexibility – Work from our office in Alexandria 3 days per week and from home 2 days.
- Career growth – Expand your technical and leadership scope in a company built for long-term success.
Our values
At Sana Commerce, our values drive everything we do:
- Champions of Our League – We deliver lasting success, balancing quick wins and long-term value
- Supercharge Our Customers – We’re revolutionizing B2B commerce together, helping our customers to lead and succeed.
- Determined to Grow – We embrace challenges, growing and raising the bar for ourselves and our industry.
- Bold Together – We dare to be bold because we have each other’s back.
Ready to build reliability that scales?
Apply now and help shape the foundation of our next-generation SaaS platform.
What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
At Sana Commerce, you’ll join a team that’s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
We are looking for a Senior Data Engineer to design, build, and optimize our Azure and Databricks-based data infrastructure . You will play a critical role in developing scalable ETL pipelines, data ingestion frameworks, and contribute to AI/ML-powered solutions that drive internal decision-making and customer-facing insights.
This is a hands-on role that requires expertise in Azure Data Services, Databricks, and Python/SQL . You will work closely with Data Architects, Engineers, and Product teams to develop robust data solutions that power analytics, personalization, and AI-driven customer experiences .
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