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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. 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 5+ 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 in Alexandria 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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
