Senior Data Engineer at Sana Commerce Latinoamrica

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

25 Jun, 26

Salary

0.0

Posted On

27 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, Databricks, ETL, ELT, Python, SQL, Data Pipeline Development, Data Ingestion, Data Modeling, Real-time Processing, Batch Processing, Data Governance, Data Security, Performance Optimization, Cloud Environments, AI/ML

Industry

Software Development

Description

Company Description At Sana Commerce we're committed to an inclusive environment and recognize that our diverse work\force is one of our greatest strengths. It all started in 2007, with a pizza and a plan. Sana Commerce is an e-commerce platform designed to help manufacturers, distributors and wholesalers succeed by fostering lasting relationships with customers who depend on them. We’re a fast-growing SaaS company that allows you to take ownership of your career. At Sana Commerce, 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. Job Description 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 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 descriptions can be tough to interpret. Even if you may not tick all the boxes, we have ambitious plans and we encourage people who share our vision and look forward to growing with us. Apply now.

Responsibilities

The Senior Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines, including real-time and batch processing frameworks, and developing data solutions to power analytics and AI-driven applications. This role involves close collaboration with architects and product teams to ensure robust, high-availability, and cost-efficient data infrastructure.