Senior Data Engineer (ML/AI)

TLDR

Design and maintain data pipelines optimized for ML/AI workloads, ensuring data quality and supporting MLOps practices with scalable data processing frameworks.

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.

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.

#LI-Hybrid

#LI-SV1 

Benefits

Flexible Work Hours

Hybrid flexibility – Work from our office 3 days per week and from home 2 days.

Sana Commerce is an e-commerce platform that empowers manufacturers, distributors, and wholesalers to build and maintain strong relationships with their customers. By providing tailored solutions, we help these businesses thrive in a competitive marketplace.

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