Senior Data Engineer

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, you'll join a team that's bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact. 

We are looking for a Senior 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.

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.

Qualifications

• 8+ 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.

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.

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