Senior Data Engineer

1 week ago

Cape Town, Western Cape, South Africa Sana Commerce Full time R17 000 - R175 000 per year
Company Description

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.

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

#LI-Hybrid

#LI-SV1 

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