{"id":3304593,"url":"https://alion.io/job/sana-commerce-data-engineer","title":"Data Engineer","company":{"id":54524,"name":"Sana Commerce","domain":"sana-commerce.com","url":"https://alion.io/company/sana-commerce","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Egypt"],"countries":["EG"],"hiring_countries":["EG"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":true},{"name":"OpenAI","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-25T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-25T00:00:00Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Data Pipeline Development & Infrastructure\nDesign build and maintain scalable data pipelines\nDevelop real-time and batch data processing frameworks for structured and unstructured data.\nImplement ETL/ELT workflows to ingest data from various sources ensuring high availability and performance.\nOptimize data storage and retrieval of data in (near) real time and batch processes\nEnsure cost-efficient and high-performance data infrastructure that scales with business needs.\nData Solutions & AI-Driven Applications\ndevelop data pipelines for ML recommenders search functionality and AI-enhanced features.\nDevelop and maintain data models APIs and integrations to support analytics and customer applications.\nSupport eCommerce-related data solutions including product recommendations customer segmentation and personalization models.\nCollaboration & Continuous Improvement\nWork closely with Data Architects Analysts and Product Teams to understand data requirements and deliver best-in-class solutions.\nMonitor and troubleshoot performance issues ensuring high availability and efficiency of data pipelines.\nContinuously optimize cost performance and scalability of data engineering solutions.\n\nQualifications: \n5 years of experience as a Data Engineer working with Azure and Databricks is a plus\nStrong expertise in data pipeline development ETL workflows and real-time/batch data processing.\nExperience in big data technologies and large-scale data storage.\nFamiliarity with data governance security and compliance best practices and tools\nProficiency in Python and SQL for data transformation data quality and automation.\nStrong experience in optimizing data performance and cost-efficiency in cloud environments.\nNice to Have\nExperience with eCommerce data solutions such as customer segmentation recommendation engines and personalization models.\nKnowledge of event-driven architectures streaming data processing and real-time analytics.\nFamiliarity with LLM-based AI applications and OpenAI or similar APIs.\nWho we are:\nSo what does it mean to be a part of the Sana Commerce team\nAt Sana Commerce our values guide how we work collaborate and drive success.\nChampions of Our League. We deliver lasting success balancing quick wins and long-term value.\nWe take pride in our unique product and extensive B2B knowledge and continuously strive to improve. No matter our role we bring value every day helping our customers and partners succeed.\nSupercharge Our Customers. Were revolutionizing B2B commerce together helping our customers to lead and succeed.\nOur customers are at the heart of everything we do. We go beyond solutions providing the tools and support they need to grow.\nDetermined to Grow. We embrace challenges growing and raising the bar for ourselves and our industry.\nWe take on challenges seek feedback and keep learning. Every setback is a chance to improve and move forward.\nBold Together. We dare to be bold because we have each others back.\nWe collaborate across teams and time zones challenge the status quo and support each other to achieve the best outcomes.\nJob descriptions can be tough to interpret. Even if you may not tick all the boxes please explain your motivation for the role of Data Engineer in a cover letter we strongly encourage you to apply if you still feel like you are a great match for this role. 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