Data Engineer at BeautyTech DTC Brand (Remote, EU-based)

Our client is a fast-growing DTC brand in the beauty and wellness space focused on hair regrowth and health solutions. The company operates within the BeautyTech and medical devices industries and is scaling toward becoming a global beauty brand.

• 6+ years of experience in data engineering, preferably within ecommerce or DTC environments
• Strong SQL and data modeling skills
• Hands-on experience with BigQuery, Snowflake, or similar cloud data warehouses
• Proficiency in Python for automation and data processing
• Experience with modern data stack tools such as dbt and Airflow
• Experience with BI and visualization tools such as Looker Studio, Looker, Tableau, or Power BI
• Strong understanding of marketing data ecosystems, including APIs, tracking pixels, S2S integrations, and event tracking
• Familiarity with Shopify, Amazon Seller Central, Google Ads, and Meta Ads
• Excellent communication skills in English
• Comfortable working independently in a remote environment

Nice to have:

• Experience with Kubernetes and Docker
• Experience with GCP or broader cloud infrastructure environments
• Experience supporting attribution, ecommerce analytics, or growth marketing teams

• Take ownership of the company’s data stack, including BigQuery and Looker Studio environments
• Build and maintain real-time reporting pipelines for marketing spend and campaign performance
• Implement and manage tracking pixels, server-to-server (S2S) integrations, and event tracking systems
• Design and improve attribution models to support data-driven marketing decisions
• Serve as the technical point of contact for the User Acquisition team regarding tracking, APIs, URLs, naming conventions, and troubleshooting
• Develop automation solutions to improve reporting workflows and operational efficiency
• Build inventory forecasting pipelines across Shopify, Amazon, TikTok Shop, and other ecommerce channels
• Collaborate cross-functionally with marketing, operations, and analytics stakeholders to improve reporting accuracy and business visibility