Senior Data Engineer (ML/AI) at Sana Commerce Latinoamrica

Cape Town, Western Cape, South Africa -

Full Time

Start Date

Immediate

Expiry Date

01 Feb, 26

Salary

0.0

Posted On

03 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Machine Learning, Artificial Intelligence, Azure, Databricks, SQL, Python, MLOps, Feature Engineering, Data Pipelines, Data Quality, Distributed Processing, Orchestration Frameworks, Unstructured Data Processing, Analytical Skills, Problem-Solving

Industry

Software Development

Description

Company Description At Sana Commerce, we’re committed to creating an inclusive environment because we know our diverse workforce is one of our greatest strengths. What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company that helps manufacturers, distributors, and wholesalers thrive in B2B commerce complexity. Our mission? To transform the way businesses buy and sell, so they can grow, build stronger relationships, and make the most of digital commerce. Join us and take ownership of your career in a dynamic, fast-moving environment. 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 get: The opportunity to make an impact at a fast-growing SaaS scale-up; A global and customized onboarding program (9,1/10 rated by previous hires); A hybrid working model – 3 days from the office, 2 days from home. 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. Who we are: So, what does it mean to be a part of the Sana Commerce team? At Sana Commerce, our values guide how we work, collaborate, and drive success. Champions of Our League. "We deliver lasting success, balancing quick wins and long-term value." We take pride in our unique product and extensive B2B knowledge and continuously strive to improve. No matter our role, we bring value every day, helping our customers and partners succeed. Supercharge Our Customers. "We’re revolutionizing B2B commerce together, helping our customers to lead and succeed." Our customers are at the heart of everything we do. We go beyond solutions, providing the tools and support they need to grow. Determined to Grow. "We embrace challenges, growing and raising the bar for ourselves and our industry." We take on challenges, seek feedback, and keep learning. Every setback is a chance to improve and move forward. Bold Together. "We dare to be bold because we have each other’s back." We collaborate across teams and time zones, challenge the status quo, and support each other to achieve the best outcomes. Job descriptions can be tough to interpret. Even if you may not tick all the boxes, please explain your motivation for the role of Data Engineer (AI/ML) in a cover letter, we strongly encourage you to apply if you still feel like you are a great match for this role. Apply now! Additional Information #LI-Hybrid #LI-SV1

Responsibilities

Design and maintain data pipelines optimized for ML/AI workloads, ensuring high-quality and reliable data for analytics and machine learning initiatives. Collaborate with Data Scientists and ML Engineers to support MLOps practices and integrate data pipelines with model training and deployment workflows.