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

Paired

Poland Remote permanent

Posted: May 18, 2026

Required Skills

Job Description

Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located.

About Our Clients

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.

They are looking for a Data Engineer to own and optimize their modern data stack, supporting marketing analytics, attribution, reporting, and operational forecasting across the business.

Responsibilities

• 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

Requirements:
• 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
• Nice to have: Experience with GCP or broader cloud infrastructure environments
• Nice to have: Experience supporting attribution, ecommerce analytics, or growth marketing teams

Benefits:
• Fully remote opportunity
• Open to candidates based in Europe
• Competitive compensation and benefit based on experience

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