Senior Data Engineer (ML/AI)

Overview

Data Engineer (ML/AI)

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.