Most Loved Workplace® Certified JobSenior Manager Data Engineering
Most Loved Workplace® Certified JobAbout the Role
At BFL Group, a Most Loved Workplace® certified employer in the Business Services space, Where ambition thrives and quality brands meet opportunity.
Enterprise Data Infrastructure Architecture: Architect, scale, and govern BFL’s global modern data warehouse infrastructure, data lakes, and automated pipeline ecosystems to support multi-brand retail analytics. CI/CD Data Pipeline Engineering: Design and monitor highly scalable, low-latency Extraction, Transformation, and Loading (ETL/ELT) data pipelines, ingesting complex unstructured datasets from retail POS, supply chain apps, and e-commerce networks. Advanced MLOps & Analytics Support: Partner with data science and business intelligence leads to build reliable data modeling infrastructures, enabling predictive inventory planning and real-time pricing updates. Data Quality & Governance Security: Establish strict data cataloging frameworks, master data management (MDM) rules, and robust encryption protocols to safeguard customer data assets in alignment with UAE cyber directives. Technical Team Governance: Guide, evaluate, and mentor a high-performing engineering team of backend developers, cloud data architects, and database administrators, steering technical roadmap deliveries.
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Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a matching quantitative framework.
- 7–12+ years of progressive data infrastructure development experience, with a clear history of leading technical teams inside a high-volume retail, e-commerce, or logistics enterprise.
- Deep expert-level command of cloud data systems (AWS/Azure), big data engines (Hadoop, Spark, Kafka), relational/non-relational databases (PostgreSQL, MongoDB), Python, Scala, and advanced data visualization tools.

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