Senior Data Engineer - Alexandria

About the role

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 Job descriptions can be tough to interpret. Even if you may not tick all the boxes, we have ambitious plans and we encourage people who share our vision and look forward to growing with us.

Requirements

• 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.

Benefits

Additional Information

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. 6+ 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 .

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