
Data Engineer
DLG (Digital Luxury Group)
full-time
Posted on:
Location Type: Remote
Location: South Africa
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About the role
- 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
Requirements
- Graduate in Computer Science, Information Systems, Statistics, Mathematics, or related fields
- At least 2 years relevant experience in data engineering, database or ETL development
- Excellent skills in Python (pandas, numpy)
- Excellent skills in SQL and database design/development
- Experience with ETL development and maintenance
- Ability to work independently and with team members from different backgrounds
- Strong result orientation and ownership
- Proficient in English (writing and speaking)
- Passionate about new technologies and innovation
Benefits
- Highly competitive package, above market rates for the right candidate
- Remote-friendly role with international team collaboration across Switzerland, the UK and China
- Direct exposure to senior leadership — no layers of middle management
- Opportunity to grow with a platform that's scaling across the luxury industry
- Wellbeing and learning support
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLETL developmentdata processingdata cleansingdata transformationdata pipeline optimizationdatabase designdata migrationdata analysis
Soft Skills
independenceteam collaborationresult orientationownershipcommunicationadaptabilityproblem-solvingtechnical expertiseinnovationpassion for technology