Senior Data Engineer - Alexandria

At Sana Commerce we're committed to an inclusive environment and recognize that our diverse work\force is one of our greatest strengths.

It all started in 2007, with a pizza and a plan. Sana Commerce is an e-commerce platform designed to help manufacturers, distributors and wholesalers succeed by fostering lasting relationships with customers who depend on them. We’re a fast-growing SaaS company that allows you to take ownership of your career.

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 .

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.

Requirements

5+ years of experience as a Data Engineer , working with Apache Spark or bySpark.; 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 .

Benefits

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.