Senior Data Engineer
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Job Description
Senior Data Engineer responsible for developing and maintaining data pipelines for LuxuryIQ. Focus on data quality and pipeline architecture for luxury brands analytics.
Responsibilities:
- Set the technical direction for pipeline architecture and data quality standards
- Take end-to-end ownership of mission-critical pipelines — from raw ingestion through to clean, documented delivery in BigQuery
- Be the go-to technical authority on data behaviour across the platform
- Design and develop data processing, cleansing, transformation, and QA scripts using Python and SQL
- Own the operation, maintenance, and enhancement of existing mission-critical data pipelines and ETLs
- Monitor pipeline reliability and data quality standards; identify and close coverage gaps systematically
- Optimise ETL performance and migrate legacy pipelines into a more scalable architecture
- Define and enforce data quality standards across the full pipeline
- Contribute to architectural decisions on ingestion, transformation, and delivery layer design
- Own the full data lifecycle documentation: every transformation rule, edge case, and business logic decision must be spec'd
- Fetch datasets from external data sources: REST APIs, JSON, CSV
- Perform data migrations and batch data updates
- Conduct exploratory analysis to support new business requirements and data source onboarding
- Develop proof-of-concept pipelines for new data initiatives
Requirements:
- Technical Graduate in Computer Science, Information Systems, Statistics, Mathematics, or related field
- 7+ years of relevant experience in data engineering, database or ETL development
- Excellent Python skills (pandas, numpy); able to write production-grade pipeline code
- Excellent SQL skills and strong database design and development experience
- Proven ETL development and long-term maintenance experience
- Apache Airflow experience
- Entity resolution and deduplication across heterogeneous, multi-source datasets
- Web scraping, crawler development, and API integration experience
- Working knowledge of AI/LLM tooling (Claude Code, Copilot, or equivalent)
Benefits:
- Monthly travel to Geneva
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