Siemens Mobility is a separately managed company of Siemens AG with 160 years of experience in transport solutions.

Through digitalization, we enable Mobility operators worldwide to make trains and infrastructure smarter and more attractive. Our Software Unit creates and develops innovative high-quality software for trip and train planning, mobile ticketing, and comprehensive Mobility as a Service (MaaS) solutions. Our apps have been downloaded more than 200 million times overall.

We share one common goal: enhancing the passenger experience with our combined power for the future of Mobility.

Using the Mobility Data Analytics portfolio, we understand passengers wishes and preferences to truly optimize mobility services to better suit the customer’s needs. Starting with data originating from Journey Planning Systems, it is possible to derive fine-grained mobility patterns throughout the public transit network of a city. Building on that, many more applications are available to provide data-driven answers to essential questions for day-to-day operations and planning. Examples, which are already successfully deployed in many cities, include vehicle occupancy prediction and capacity planning for rail replacement services.

We are searching for a Full Stack Developer and Data Science Enthusiast to join our Aveiro Team!

Your Mission:

As part of our Mobility Data Analytics Team (a geographically distributed, multi-disciplinary team composed of Product Owners, Data Engineers, DevOps, Testers and Full Stack Developers) you develop fresh new Minimally Viable Products and extend features on existing Products. You package and deliver your work to testers and devops team members and with their support deploy your work in our production environment in our AWS cloud and is made available to our customers.

We're looking for someone who has:A university degree from a school of engineering or specialized in computer scienceProficiency in written and spoken EnglishIntermediate to expert level experience in the field of any full stack in JavaScript (e.g. MERN)Strong knowledge in machine learning with a focus on selecting, tuning and deploying appropriate ML models for the problems at hand.Strong knowledge of any full stack framework using JavaScript such as MERNExperience with a front-end framework such as React, Angular, Vue.jsExperience with api architectures such as REST, GraphQLExperience with JavaScript server side frameworks such as Express JS, Node JSExperience with relational database design and scripting such as pl/sql on PostgreSQLEase with GitFamiliar with containerization technology such as DockerFamiliar with web architecture and cloud technologies such as AWSMeticulous and critical to the quality of the code, writing unit and system integration tests for the full stackExperience in organizing your work for a systematic delivery, particularly in breaking down larger tasks (Epics) into smaller trace able actions (User Stories)
What we like about you is your:Sensitivity to the user experience of your workAbility to chunk your work and manage it towards a successful timely deliveryLove of knowledge and your willingness to transmit it to others in simple waysFamiliarity with representing your software's structure and behaviour pictorially for communicating your proposals (for e.g. using Mermaid & Markdown to draw component and sequence diagrams)Willingness to learn and propose the usage of new technologies within a product portfolioInvolvement in the project and your ability to make strong proposalsWhat you can expect from us:

A flexible working model to promote a better work-life balance and a health insurance. 2 volunteering days a year and 4 additional bridge days per year. In addition, you’ll have access to exclusive discounts on Siemens and Bosch brands, and access to Siemens Learning Platforms that allow for internal online courses, as well as external platforms such as Coursera, Udemy, and LinkedIn Learning.

If this sounds exciting to you, then send us your application – in English – and we will get back to you.

At Siemens Mobility we believe physical barriers are not related to potential. Only the potential matters to us. We are dedicated to quality, equality and valuating diversity. Therefore, we encourage applications that reflect the diversity of the communities within which we work.

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