DLG (Digital Luxury Group)

Data Engineer

• Design and development of data processing, data cleansing, data transformation and QA scripts using Python and SQL
• Operations, maintenance and enhancements of existing mission-critical data pipelines and ETLs
• Monitoring and regular maintenance of data pipelines, ensuring data reliability and quality standards
• Enhancements to meet evolving business requirements
• Optimization of ETLs for performance
• Migration of legacy data pipelines into more a scalable architecture
• Typical data engineering responsibilities including SQL database design, maintenance and optimization
• Fetching datasets from external data sources: REST API, JSON or CSV
• Performing data migrations and batch data updates
• Exploratory projects including Analysis of various datasets to support business requirements
• Developing Proof-of-concept of new data pipelines
• Working with other data team members to complete common deliverables and provide technical expertise

Full-stack Engineer

• Build and evolve front-end experiences using React and Next.js , with a focus on clarity, performance, and premium UX
• Design and implement secure, scalable backend APIs using Node.js and PostgreSQL
• Work on AI-enabled and agent-based workflows , integrating data, models, and tools into production systems
• Contribute to data processing, analysis, and automation tasks , including Python-based services or scripts where appropriate
• Integrate internal and external data sources to power analytics dashboards, insights, and automated reasoning pipelines
• Containerise and deploy services using Docker , primarily in a GCP / Cloud Run environment
• Collaborate closely with engineering, data, and product stakeholders to deliver production-ready features
• Translate evolving product requirements into clear, maintainable technical solutions

Data Engineer

Full-Stack Developer