Data Analyst/Engineer (Merchant Data Catalogue) at ShipMonk · Prague

About ShipMonk ShipMonk isn't just a 3PL; we're a growth partner for merchants. We provide cutting-edge technology and a network of owned and operated fulfillment centers that empower high-growth ecommerce and DTC brands to stress less and grow more. With over 2,500 employees across five countries, we're on a mission to revolutionize fulfillment by providing everything from the fastest click-to-delivery and real-time inventory to custom solutions—all with a merchant-first mindset. Why ShipMonk? We believe in building for the long term, and our success is powered by five key differentiators that help us become true partners to our merchants. ● Global Fulfillment Network: Our 12+ owned and operated fulfillment centers span the US, Canada, Mexico, the U.K., and Mainland Europe. We never outsource, ensuring quality and consistency. ● Proprietary Technology: We've eliminated the need for tribal knowledge with our AI-powered platform. It provides a real-time, unified view of inventory and orders, giving our merchants the control and visibility they need to succeed. ● Unrivaled Support: We provide hands-on, "mom and pop" support with a global reach. Our dedicated teams are on-site at every fulfillment center, ready to jump into action. ● Transparent Pricing: We believe in honest, long-term partnerships. Our all- inclusive pricing means predictable costs, with no hidden fees or surprises. ● Committed to the Future: We invest over $10 million annually in research and development to ensure our technology and services continually evolve, helping merchants plant roots with a partner who is here to stay. Our Core Values Our values are the heart of our culture. We're looking for individuals who embody these principles every day. ● Merchant-first: We handle the logistics so our merchants can focus on what they do best—growing their business. ● Own it:We take ownership of our work, our mistakes, and our successes. ● People make ShipMonk: We believe in our team and invest in our people. ● Change the score:We challenge the status quo, constantly innovating and improving. ● Get sh*t done: We're a fast-paced, high-growth company that values action and results. We are ShipMonk, and we provide logistics services in order fulfillment. Our main business is in the USA, but our modern platform is built by the Product Development team in Prague. Here at ShipMonk, we process up to 100,000 orders per day in our peak season. Our book of business has more than 1,500 clients which are small and medium e-shops, mostly based in the US. We offer the ShipMonk platform as the solution for the whole process.  It covers everything from stocking the items to shipping the ready packages to all corners of the world! 🎯 1. ROLE MISSION We seek a High-Execution Data Engineer to be the lead architect and primary builder of the Merchant Data Catalogue (MDC). This "Builder-Architect" role requires designing, coding, building, and maintaining the infrastructure to transform complex 3PL logistics data into a single, standardized, client-ready data product. Moving beyond fragmented backend data, you will model it into a clean, unified "Merchant-Standard" format. This standardized data directly enables customers to easily calculate and output key e-commerce KPIs, such as drilling down on a 15% shipping cost increase. The MDC is critical as the foundation for our AI insights platform and all future data tooling for our thousands of merchants. 🏗️ 2. THE HANDS-ON CORE RESPONSIBILITIES End-to-End Development: Directly build, test, and deploy the ETL/ELT pipelines that feed the Merchant Data Catalogue. MDC Management & Oversight: Take full ownership of the MDC lifecycle—from schema design to ongoing performance tuning and maintenance. Standardization & Modeling: Get hands-on with SQL and Python to model fragmented backend data into a clean, unified "Merchant-Standard" format. Data Contract Enforcement: Code and implement automated checks (Data Contracts) to ensure backend changes never break the client-facing data layer. Maintenance & Support: Proactively monitor the health of the MDC. You are the first line of defense for troubleshooting data discrepancies or performance lags. Tooling & Automation: Develop internal tooling to automate documentation and data quality reporting for our merchants. Data Mining & Insight Modeling: Identify business problems (e.g., "Are you putting inventory in the wrong warehouse?") and construct the underlying data models within the MDC to provide actionable answers via our tooling and customer interfaces. 🛠️ 3. SKILLS & TECHNICAL REQUIREMENTS Hands-on Engineering: Expert-level proficiency in Python and SQL. You should be comfortable refactoring complex queries and building scalable data apps. Modern Data Stack: Practical experience with dbt, Airflow, Snowflake, and CI/CD workflows for data. Data Architecture: Strong ability to design Star Schemas and wide-table formats specifically for high-concurrency client access. Reliability Engineering: Experience with data testing frameworks (e.g., Great Expectations, dbt-tests) to ensure "Standard & Robust" delivery. Documentation: Ability to write clean, developer-facing and client-facing documentation (Data Dictionaries). 🏆 4. KEY RESULTS (What Success Looks Like) KR 1 (Reliability): Achieve 99.9% uptime and delivery of the MDC, meeting all client-facing Data SLAs. KR 2 (Business Value/Upsell): Enable the development of analytics features, AI insights, and drill-down dashboards that are 100% based on the Merchant Data Catalog, directly contributing to upsell and technology revenue. KR 3 (Insight Foundation): Successfully construct the underlying data models within the MDC to support three high-leverage 2026 Strategic Problems (e.g., Inventory Placement, B2B Planning Accuracy). KR 4 (Data Quality/Trust): Implement and enforce Data Contracts for 100% of core client-facing data fields, resulting in a 50% decrease in Merchant Success Manager (MSM) escalations related to data discrepancies. KR 5 (Customer Insight Loop): Implement a formal feedback loop to capture and translate merchant/business-user feedback into 3 major quarterly data model improvements within the MDC. KR 6 (Internal Adoption): Achieve 90% adoption of all new MDC-based insight models by Merchant Success Managers (MSMs) for weekly client consultations, solidifying the MDC as the trusted single source of truth. 📈 5. DESIRED EXPERIENCE 4+ years of hands-on experience in Data Engineering or Backend Engineering. Proven track record of building data products from scratch—not just maintaining existing ones. Experience working in a 3PL, Logistics, or Fintech environment where data accuracy is mission-critical. A "lead-by-doing" mentality: you are as comfortable in a high-level design sprint as you are in a deep-dive debugging session. Experience working directly with business users and leveraging customer feedback to drive iterative improvements in data models and products. 🚀 JOIN THE SHIPMONK CREW We are looking for a highly business-focused Data Engineer who will act as a Data Product Manager for the Merchant Data Catalog. This role's purpose is to accelerate our business by synthesizing user inputs and customer feedback into data models that drive strategic value for our thousands of merchants. Location: Remote / Hybrid ShipMonk is an equal opportunity employer. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.