Senior Python Engineer (m/f/x)

Who You’ll Work For:

Makersite is an award-winning data software company that empowers teams to manage product sustainability, cost, and compliance; simultaneously, from a web browser. Our mission is to help manufacturing companies make better decisions and create safer, more sustainable products through data-driven analysis. We believe that technology can help corporations to have a more positive impact on their environment. That is why we developed a platform that uses cutting edge technology, big data, and breakthrough algorithms to deliver product intelligence unlike anything on the market.

For manufacturing companies with complex supply chains that want to accelerate product development, build resilience or reduce costs, Makersite is a disruptive digital twin platform that uses AI to connect and enrich cross-departmental data into live models for analysis, collaboration and decision support. Digital twins can be used to understand how externalities like regulations, supply shortages etc. affect a business and help teams evaluate scenarios taking into account multiple criteria like costs, environment, compliance etc. at the same time.

Who We’re Looking For:

We are looking for an experimented and energetic individual to join our team. This is a great opportunity to establish your career as a Senior python engineer of one of the Top 10 most innovative European start-ups. The role will be in our back-end engineering team who drive the development of core features of our API-first platform. You will need to understand the business challenge, propose a solution using our framework, validate the idea with the team and build the back-end service. All of our solutions have a data component, which means that you build end-to-end data pipelines. Reporting to the VP Engineering, you will then work with the front-end team to direct necessary work to complete your service.

What You’ll Do:

• Help create functional requirements together with our customers.
• Collaborate with UX designers to develop and implement requirements.
• Build efficient data-powered REST APIs in Python
• Build end-to-end data pipelines and AI models needed for your APIs.
• Collaborate with front-end engineers to integrate with your APIs.
• Contribute to testing and bug fixes.