Senior Data Engineer (mlai) Location Alexandria

Department:

Product Management

Job Summary

What youll be doing

• 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.

Qualifications :

What you bring

• 8 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.

Why youll 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 Were 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 others back.

Ready to build reliability that scales

Apply now and help shape the foundation of our next-generation SaaS platform.

Additional Information :

#LI-Hybrid

Remote Work :

No

Employment Type :

Full-time

Key Skills

• Apache Hive
• S3
• Hadoop
• Redshift
• Spark
• AWS
• Apache Pig
• NoSQL
• Big Data
• Data Warehouse
• Kafka
• Scala

Apply Now