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Job Title: Data Engineer (m/f/x)
Location: EU
(Remote)
At Makersite, we're pioneering the future of sustainable product development and digital collaboration. As a leading platform for product lifecycle management (PLM), we empower companies to make smarter, more sustainable decisions across their entire supply chain. Our cutting-edge software enables teams to design, prototype, and manufacture with transparency, efficiency, and responsibility—reducing environmental impact while optimizing performance.
We're a fast-growing, innovative company that thrives on creativity, collaboration, and continuous learning. If you're passionate about technology, sustainability, and creating meaningful impact, we’d love to hear from you. Join us and be a part of shaping the future of manufacturing and product innovation.
As part of our growing team, you will play a key role in shaping the future of sustainable product development. We’re looking for innovative, driven Data Engineers who are passionate about technology and sustainability to join us in building tools that enable companies to make smarter, more responsible decisions. In this role, you’ll have the opportunity to collaborate with talented professionals, contribute to cutting-edge projects, and help drive the digital transformation of industries worldwide. If you're ready to make an impact and contribute to meaningful change, we want to hear from you!
This role is a fixed, permanent position. All successful applicants will receive a permanent employment contract regardless of location.
Integrate new and existing data into our hyper-connected databases
Manage and optimize the world's largest supply chain database.
Continuously seek and evaluate new sources of data that can be leveraged to enhance our database and provide customers with optimal feature development.
Build robust and scalable data pipelines from both internal and external sources.
Develop and maintain complex data models to support various business needs.
Collaborate with cross-functional teams to understand domain-specific challenges and translate these into technical requirements.
Implement data quality and validation processes to ensure the accuracy and reliability of data.
Stay updated with the latest advancements in data engineering technologies and methodologies.
Ensure adherence to confidentiality and data security standards.
Osnabrück
Berlin