Senior Data Engineer (ML/AI) - Alexandria

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, we're looking for a Data Engineer (ML/AI) to design, build, and scale data systems that power our analytics and machine learning initiatives. Your work will ensure high-quality, reliable, and ML-ready data pipelines that enable both traditional analytics and advanced AI-driven solutions across the business.

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.

Responsibilities

Designing and maintaining data pipelines optimized for ML/AI workloads , including handling of large-scale, unstructured, and semi-structured data.; Building feature pipelines and feature stores that ensure reusability and consistency of data used by machine learning models.; Collaborating with Data Scientists and ML Engineers to understand data requirements for training, validation, and production deployment .; Ensuring data quality, lineage, and governance meet standards required for AI/ML applications.; Supporting MLOps practices by integrating data pipelines with model training, monitoring, and deployment workflows.; Leveraging distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for scalable ML data processing .

Requirements

5+ years of experience as a Data Engineer, working with Azure and Databricks, ideally with exposure to ML/AI-related data workflows .; College degree that demonstrates your analytic abilities, such as Econometrics, Computer Sciences, Mathematics or similar,; Excellent analytical and problem-solving skills,; Experience with data preparation for ML/AI : managing large datasets, feature engineering, and real-time or batch data pipelines.; Familiarity with MLOps concepts and how data engineering supports model lifecycle management.; Experience with orchestration frameworks (Airflow, Prefect, or Azure Data Factory) for complex ML pipelines .; Knowledge of unstructured data processing (text, images, logs) is a plus.; Strong SQL and Python skills, experience with distributed data processing (PySpark, Dask, etc.) is a plus.

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.