Senior Data Engineer

- Alexandria Information Management**Senior Data Engineer**:Alexandria-
Information Management- 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 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**.

**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.

**Want to know more about the role?**:
**Kateryna Korzun**:

- Corporate Recruiter
- 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 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**.

**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**.
- 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 p