.*about web shop manager & partslogic*web shop manager is a company dedicated to providing innovative solutions in the automotive parts industry. With a focus on e-commerce, search & discovery, fitment and vehicle data to create powerful e-commerce experiences with efficiency, accuracy, and customer satisfaction. We aim to enhance the overall experience for both buyers and sellers.at web shop manager & partslogic, we rely on a dynamic team of engineers to solve the many challenges of our rapidly evolving industry and technical stack. We're seeking a data engineer who is ready to work with new technologies and architectures in a forward-thinking organization that's always pushing boundaries. This person will be responsible for developing and maintaining high-performing saas solutions and will have complete, end-to-end ownership of projects.as a data engineer in the data platform team, you will have the opportunity to build, optimize and grow a large data platform which directly supports the partslogic search and discovery engine, as well as, other products within partslogic. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as millions of users.*responsibilities*- participate in all aspects of agile software development, including design, implementation, and deployment- design, build and maintain data transformations efficiently and reliably for different purposes (e.g. indexing, reporting, growth analysis, multi-dimensional analysis)- design, implement and maintain reliable, scalable, robust and extensible big data systems that support core products and business- design, develop and support data pipelines and workflows that integrate various sources of structured and unstructured data across our customers' landscape.- assess and implement any customizations and custom data wrangling needed to transform customer datasets in a way that is best suited for processing by our ml models.- monitor data processing and machine learning workflows to ensure customer data is successfully processed by our ml models, debugging and resolving any issues faced along the way.- generate necessary data artifacts and analytics needed to assess the quality of results generated by different parts of the ai workflow to ensure they meet desired quality standards.- collaborate closely with the engineering team to assess model performance and improve results as needed.- collaborate closely with product engineering as needed to resolve any issues faced during customer deployment and onboarding.- collaborate closely with customer success managers and account managers to maintain close customer relationships and ensure customer satisfaction.- develop tooling and playbooks to streamline and automate key technical delivery activities to be repeatable and scalable