Senior Data Engineer

Overview

Senior Data Engineer

Azure Data Services, Databricks, and Python/SQL

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,

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 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.

Additional Information

• Who we are
• 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

Job description