Senior Data Engineer

Senior Data Engineer (Contract) About Harnham Harnham is a specialist in data and analytics recruitment. We partner with organizations that are investing in modern cloud data platforms and help them hire experienced data professionals who can deliver production-grade solutions at scale. About the Client Our client is a leading membership-based retail organisation undergoing a large-scale data transformation. The business is investing in cloud-native data platforms to improve how operational, customer, merchandising, and supply chain data is collected, managed, and delivered across the enterprise. Role Details • Role: Senior Data Engineer • Location: Hybrid near Boston, MA (1 day per week) or fully remote (EST hours) • Pay Range: $60 to $80 per hour • Start: Target early September • Length: 6 month initial contract with likely extension • Utilization: 40 hours per week • Employment Type: Contract (W2 or C2C) The Role This is a hands-on Senior Data Engineering contract focused on building and supporting enterprise data pipelines that power reporting, analytics, and operational decision-making across the business. You will own the ingestion layer for high-volume retail and operational data, helping move information from source systems into a modern cloud data platform. This role requires strong Snowflake expertise, deep experience with data ingestion, and the ability to work independently while partnering with business and technical stakeholders. Key Responsibilities • Own end-to-end delivery of data engineering solutions, from source intake through production deployment. • Design, build, and maintain scalable batch and near real-time ingestion pipelines. • Develop Snowflake-based data models and transformation frameworks. • Support analytics, reporting, forecasting, and operational decision-making across retail functions. • Ensure data quality, lineage, validation, and governance standards are maintained. • Partner with stakeholders across technology, operations, merchandising, customer, and analytics teams. • Drive engineering best practices around testing, monitoring, documentation, and reliability. Requirements: Must Have • 4+ years of professional Data Engineering experience with significant ownership of ingestion pipelines. • Extensive hands-on Snowflake experience in production environments. • Experience using Snowflake Cortex or other AI-assisted capabilities within Snowflake. • Strong SQL skills, including optimisation, validation logic, and large-scale data processing. • Experience supporting enterprise data platforms within retail, eCommerce, consumer products, logistics, supply chain, or similarly complex environments. • Ability to work independently and communicate effectively with both business and technical stakeholders. Nice to Have • Experience using dbt for data transformation and modelling. • Python for data engineering, orchestration, and automation. • Experience supporting near real-time or event-driven data pipelines. • Familiarity with CI/CD processes, Git, and Agile delivery methodologies. • Experience working with customer, merchandising, inventory, fulfilment, or supply chain data domains. Why Apply? This is an opportunity to join a major retail organisation that is continuing to invest heavily in modern data capabilities. You'll have direct ownership over critical data pipelines, work with a modern Snowflake environment, and help shape the future of enterprise analytics across a data-driven business. We will not be utilizing third parties for this search. Please apply directly if interested.