Launchmetrics
201 - 500 employees
🤝 B2B
👗 Fashion
💄 Beauty
B2B • Fashion • Beauty
Launchmetrics is an innovative and dynamic international company specializing in brand performance for the Fashion, Lifestyle, and Beauty industries. Formed from a merger of Augure and Fashion GPS, Launchmetrics has established itself as a leader in influencer marketing software and technology solutions. The company supports brands with comprehensive services in influencer relationship management, media monitoring, and analytics to drive brand visibility and engagement. With a global presence, Launchmetrics continues to evolve its platform and capabilities, having acquired key players in the industry to strengthen its data and analytics offerings. Known for a vibrant and inclusive work culture, Launchmetrics prides itself on innovation, diversity, and customer focus, backed by strong financial growth and investment.
Data Engineer
🔥 0 minutes ago
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Launchmetrics
201 - 500 employees
🤝 B2B
👗 Fashion
💄 Beauty
B2B • Fashion • Beauty
Launchmetrics is an innovative and dynamic international company specializing in brand performance for the Fashion, Lifestyle, and Beauty industries. Formed from a merger of Augure and Fashion GPS, Launchmetrics has established itself as a leader in influencer marketing software and technology solutions. The company supports brands with comprehensive services in influencer relationship management, media monitoring, and analytics to drive brand visibility and engagement. With a global presence, Launchmetrics continues to evolve its platform and capabilities, having acquired key players in the industry to strengthen its data and analytics offerings. Known for a vibrant and inclusive work culture, Launchmetrics prides itself on innovation, diversity, and customer focus, backed by strong financial growth and investment.
📋 Description
• Join a pod-driven data team at Launchmetrics • Design and build data pipelines using PySpark and Databricks • Architect efficient Delta Lake table schemas • Work closely with product, QA, and other data engineers • Own code quality and participate in cross-pod initiatives
🎯 Requirements
• Degree or Master Degree in Computer Science • 3+ years of relevant work experience in full-stack development in a SaaS environment • Strong Python and PySpark experience • Familiarity with medallion architecture patterns (Bronze/Silver/Gold) • Ability to reason about schema evolution, partitioning/clustering strategy, and pipeline reliability • Must speak, read, and write English fluently
🏖️ Benefits
• Flexible working arrangements • Learning and development allowance • Benefits package tailored to your location • Support to set up your home office • Autonomy in decision making and ownership of outcomes
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