Data Engineer, Zipline

• 4+ years of experience as a Data Engineer or Backend/Data-focused Software Engineer working on production data systems
• Strong proficiency with Python, SQL, and at least one modern data orchestration tool (Airflow, Prefect, Dagster, etc.)
• Hands-on experience designing data models, ELT/ETL pipelines, and warehouse architectures using Snowflake, BigQuery, Redshift, or equivalent platforms
• Experience working with distributed systems, APIs, microservices, and event-driven data flows
• Familiarity with dbt, schema versioning, metadata management, and tested data transformations
• An ability to work with ambiguous operational requirements and turn them into scalable, reliable data systems
• Comfort collaborating with cross-functional partners from engineering, operations, regulatory teams, and commercial teams
• Clear and thoughtful communication skills, with a strong commitment to documentation and shared ownership
• Comfort working in a fast-paced environment with evolving requirements and ambiguous constraints
• Clear, concise communication skills and ability to translate technical concepts for non-technical stakeholders
• Strong problem-solving skills and attention to detail

Desirable

• We're looking for a Data Engineer to build and scale the data infrastructure powering Zipline's Platform 1 (P1) — the order management and fulfillment system behind our automated logistics service in Africa
• This platform acts as our internal CRM, order management system, coordinating order fulfillment, inventory management, and customer communication across an expanding network of countries and delivery use cases
• You'll design and maintain the data pipelines, warehousing solutions, and analytics infrastructure that enable data-driven decision-making across operations, product, and business teams
• You'll work closely with software engineers, data analysts, and operations teams to ensure reliable data availability, quality, and insights that drive operational efficiency and strategic growth
• If you're someone who thrives in a fast-paced, collaborative environment and is excited about building data systems that power real-world impact in the world's largest autonomous logistics network, we'd love to hear from you
• Design, build, and maintain robust data pipelines that ingest, clean, transform, and synchronize data across P1 operational systems, internal tools, and external partners’ platforms
• Develop and optimize data models that support analytics, reporting, and machine learning applications across the P1 platform
• Own and evolve Zipline’s P1 data architecture including warehouse models, data marts, and integration schemas ensuring maintainability, clarity, and alignment with Zipline’s data standards
• Collaborate with product, operations, and platform engineers to translate real-world logistics requirements into data solutions that improve service reliability, regulatory reporting, and operational decision-making
• Build and maintain ETL/ELT processes that support order tracking, inventory management, delivery performance, and customer behavior analytics
• Create and manage data infrastructure that scales across geographies, complexity, and evolving business needs
• Build data quality monitoring and alerting frameworks to proactively detect pipeline failures, data drift, schema changes, or anomalous behaviors across geographies
• Partner with data analysts and business stakeholders to translate analytical needs into robust data solutions
• Lead by example in code reviews, technical discussions, and knowledge sharing to support team growth