Data Engineer (Madrid based)

About us At Auctane, we are united by a passion to help businesses deliver — whatever their size, wherever they are, and however they operate. We make it possible for businesses to meet the ever-changing requirements of their industry and customer expectations. Auctane products enable hundreds of thousands of businesses to annually mail and ship billions of items — over $200 billion worth — to recipients around the globe. The Auctane family of mailing and shipping software products includes ShipStation, Stamps.com, ShipStation API, Metapack, GlobalPost, and Packlink. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart. Our values Win as One. Delight Customers. Deliver Great Outcomes. About the role In this role, you will have an impact on the design, implementation, and maintenance of existing and greenfield customer-facing and internal data products. We work at a scale pace and with the latest architecture patterns and tech. We process thousands of events per second, and our massive dataset keeps growing at a staggering pace. We keep improving our data platform and data engineering stack to accommodate growth, enable novel solutions, and provide the best service to our customers. We have a flat and open engineering culture where data & evidence beat opinion and hierarchy, backed by honest discussions. We passionately believe in forming autonomous, cross-functional teams who are empowered to deliver our ambitious strategy. Energy and passion for our business and customers are part of our culture – and we love working with like-minded people. This role is based in Madrid, Spain What will you be doing? Contribute to the design, build, and operational management of our data pipelines and analytics solution using Databricks. Collaborate with the Product Owner and other stakeholders to implement the ShipStation Global data strategy. Develop frameworks and solutions that enable us to acquire, process, monitor and extract value from our enterprise-wide dataset. Contribute to the design and architecture of ShipStation Global's data platform. Contribute directly to the implementation and operations of our systems. Be an advocate of data quality and observability principles and use Databricks Lakeflow and Spark to process data and get our datasets just right. Foster engineering excellence by delivering highly reliable software and data pipelines using Software Engineering best practices like automation, version control, continuous integration/continuous delivery, testing, security, etc. What are we looking for? A strong Data Engineering background in a lakehouse or data warehouse architecture Experience developing and supporting robust, automated, and reliable data pipelines in Python and SQL. Mastered Python and SQL skills. Experience with data processing frameworks like Spark or dbt. Knowledge of Data Orchestration solutions , like Databricks Lakeflow or Airflow. …