Senior Data Engineer (ML/AI)

4 hours ago

United Arab Emirates / Dubai,

This job can be done remotely

Full-time job

What You'll Be Doing

  • Designing and maintaining data pipelines optimized for ML and AI workloads, including handling large-scale, unstructured, and semi-structured data

  • Building feature pipelines and feature stores to 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 the standards required for AI and ML applications

  • Supporting MLOps practices by integrating data pipelines with model training, monitoring, and deployment workflows

  • Leveraging distributed processing frameworks such as Spark, Databricks, and 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 and AI-related data workflows

  • A college degree that demonstrates strong analytical abilities, such as Econometrics, Computer Science, Mathematics, or a related field

  • Excellent analytical and problem-solving skills

  • Experience with data preparation for ML and AI, including managing large datasets, feature engineering, and working with real-time or batch data pipelines

  • Familiarity with MLOps concepts and how data engineering supports model lifecycle management

  • Experience with orchestration frameworks such as 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 help shape how global businesses operate online

  • Continuous learning – Access structured onboarding rated 9.1/10 by previous hires, along with mentorship and a feedback-driven culture

  • Hybrid flexibility – Work from our office three days per week and from home two 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 with long-term value

  • Supercharge Our Customers – We're revolutionizing B2B commerce, helping our customers 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

 

     

     

     

     

     

 

 

   

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