Senior Data Engineer - ETL Pipeline

Description :

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 will do :

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.

What we need :

- 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 youll 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.

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 Were 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 others back.