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.
We are looking for an AI/ML Data Engineer to design, build, and optimize our Azure and Databricks-based data infrastructure. You will play a critical role in developing scalable ETL pipelines, data ingestion frameworks, and contribute to AI/ML-powered solutions that drive internal decision-making and customer-facing insights.
This is a hands-on role that requires expertise in Azure Data Services, Databricks, and Python/SQL. You will work closely with Data Architects, Engineers, and Product teams to develop robust data solutions that power analytics, personalization, and AI-driven customer experiences.
What you'll get:
- The opportunity to make an impact at a fast-growing SaaS scale-up;
- Up to 6 weeks “work from anywhere” per year;
- 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.
Data Pipeline Development & Infrastructure
- Design, build, and maintain scalable data pipelines
- Develop real-time and batch data processing frameworks for structured and unstructured data.
- Implement ETL/ELT workflows to ingest data from various sources, ensuring high availability and performance.
- Optimize data storage and retrieval of data in (near) real time and batch processes
- Ensure cost-efficient and high-performance data infrastructure that scales with business needs.
Data Solutions & AI-Driven Applications
- develop data pipelines for ML recommenders, search functionality, and AI-enhanced features.
- Develop and maintain data models, APIs, and integrations to support analytics and customer applications.
- Support eCommerce-related data solutions, including product recommendations, customer segmentation, and personalization models.
Collaboration & Continuous Improvement
- Work closely with Data Architects, Analysts, and Product Teams to understand data requirements and deliver best-in-class solutions.
- Monitor and troubleshoot performance issues, ensuring high availability and efficiency of data pipelines.
- Continuously optimize cost, performance, and scalability of data engineering solutions.
- 5+ years of experience as a Data Engineer, working with Azure and Databricks
- Strong expertise in data pipeline development, ETL workflows, and real-time/batch data processing.
- Experience in big data technologies, and large-scale data storage.
- Familiarity with data governance, security, and compliance best practices and tools
- Proficiency in Python, and SQL, for data transformation, data quality and automation.
- Strong experience in optimizing data performance and cost-efficiency in cloud environments.
Nice to Have
- Experience with eCommerce data solutions, such as customer segmentation, recommendation engines, and personalization models.
- Knowledge of event-driven architectures, streaming data processing, and real-time analytics.
- Familiarity with LLM-based AI applications and OpenAI or similar APIs.
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 AI/ML Data Engineer 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!
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