Data Engineer (m/f/x)

• Design, build, and maintain scalable data pipelines and infrastructure to support analytics and machine learning workflows.
• Develop and optimize data storage solutions (e.g., data lakes, warehouses, databases) for performance, reliability, and scalability.
• Ensure data quality, consistency, and accessibility through robust validation, cleaning, and transformation processes.
• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and translate them into technical solutions.

This role contributes to building tools that enable companies to make smarter, more responsible decisions, helping drive the digital transformation of industries worldwide and supporting sustainable product development.

• 5+ years of full-time commercial experience with SQL and Python (minimum 3 years considered).
• Hands-on experience with data orchestration tools such as Airflow, Metaflow, or Prefect.
• Strong knowledge of cloud platforms, with expertise in AWS (Azure is a plus).
• Solid understanding of data compliance and security best practices, particularly when working with sensitive client data.

• Competitive Salary – We reward your skills and experience with a compensation package that reflects your value.
• 30 Days Paid Time Off – Take the time you need to recharge and maintain a healthy work-life balance.
• Remote-First Flexibility – Work from anywhere in the EU, with the option to collaborate in person at our offices in Stuttgart, Berlin (role dependent).
• Generous Learning & Development Budget – We invest in your growth, providing ample resources for personal and professional development.
• Choose Your Ideal Work Equipment – Whether you prefer Apple or Microsoft, we’ll equip you with the tools you need to excel.

Makersite is pioneering the future of sustainable product development and digital collaboration as a leading platform for product lifecycle management (PLM), empowering companies to make smarter, more sustainable decisions across their entire supply chain.