Data Engineer, Operations Technology (all genders)

What You'll Do: The Recipe Become an integral part of a high-impact engineering team supporting global supply chain, procurement, and logistics operations. Design, build, and maintain robust batch and streaming data pipelines connecting procurement systems, warehouse management systems (WMS), and logistics networks. Model complex supply chain domains—including recipe component sourcing, inventory turnover, fulfillment batching, and route optimization—into clean, scalable analytical datasets. Develop real-time data integrations for tracking ingredient inventory levels, order assembly status, and carrier shipment tracking across distribution centers. Partner with Data Scientists and Operations Analysts to operationalize demand forecasting models, waste reduction algorithms, and safety stock optimizations. Ensure high data quality, freshness, and lineage tracking for operational dashboards, executive KPIs, and automated logistics alerts. Work with modern cloud data technologies such as AWS (S3, EMR, Glue, Redshift), Apache Spark/PySpark, Kafka, Airflow, Snowflake, and Databricks. Collaborate closely with cross-functional stakeholders in Procurement, Fulfillment Operations, Logistics, and Product to turn physical workflow requirements into data infrastructure. Contribute to a collaborative and knowledge-sharing environment, providing technical guidance and coaching to team members and stakeholders. Work beyond your specialization when the problem demands it. Your specialization is your anchor, not your boundary. Operate what you build. You instrument, monitor, and improve your systems in production. Shipping is the beginning of the learning cycle, not the end. What You'll Bring: The Ingredients Hands-on experience working with AI tooling (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents every day. You have a practical sense of how the context you provide to AI tools shapes output quality, and how to set boundaries on AI-generated work. Proven track record of scientific or engineering work (Bachelor's, Master's, or PhD) in computer science, software engineering or related field. 3+ years of work experience as a Data Engineer, including delivery of production data. Fluency in Python, SQL, and PySpark for building scalable ETL/ELT data pipelines on a modern cloud data infrastructure. Strong data modeling expertise (dimensional modeling, relational architecture, event-driven data streams) applied to physical supply chain or logistics operations. Experience with software development practices and tools such as Git, CI/CD, Docker, and AWS. Exceptional communication capabilities to bridge technical implementation details with warehouse operators, logistics planners, and business stakeholders. You take full ownership. You have a bias to ship. You finish the last twenty percent. You have product sense and are opinionated about what should be built and why, and you can back that opinion with data and user evidence. What we offer: The Toppings Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing. Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations. Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup. End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability. Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit). Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.