Senior Data Engineer (ML / AI)

Full Description

Job Description

What you'll 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 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 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.

Additional Information

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