Full Stack Developer and Data Science Enthusiast
Aveiro, Portugal
Hiire
Tech Recruitment Made Easy. Hire top talent & scale your business with Hiire. Your one-stop recruitment partner.Hiire is helping Siemens Mobility, a global leader in Engineering and Technology, hire a Full Stack Developer and Data Science Enthusiast for their team to help them advance on their mission of shaping the future of mobility!
As a world leader in state-of-the-art transportation solutions, Siemens Mobility is at the forefront of digital solutions for the railways sector. By designing, implementing, and maintaining advanced Software-as-a-Service (SaaS) solutions, we are helping our Mobility customers transform their business and turn their asset data into valuable information.
About the role:
Join Siemens Mobility Portugal for a dynamic role in our global engineering and technology services team. As a leader in sustainable transportation, we innovate solutions for electrification, automation, and digitization.
Explore Railigent X, a suite empowering rail operators with data comprehension and actionable insights. We excel in urban, interurban, and logistics transport, integrating solutions for efficient passenger and freight transportation.
You can find more details about the project here.
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, which is made available to our customers.
Your Qualifications:
- A university degree from a school of engineering or a specialization in computer science
- Strong knowledge of any full-stack framework using JavaScript, such as MERN;
- Strong knowledge in machine learning with a focus on selecting, tuning, and deploying appropriate ML models for the problems at hand;
- Experience with a front-end framework such as React, Angular, or Vue.js;
- Experience with api architectures such as REST, GraphQL;
- Experience with JavaScript server-side frameworks such as Express JS, Node JS;
- Experience with relational database design and scripting, such as PL/SQL on PostgreSQL;
- Ease with Git;
- Familiar with containerization technology such as Docker;
- Familiar with web architecture and cloud technologies such as AWS;
- Meticulous and critical to the quality of the code, writing unit and system integration tests for the full stack;
- Experience in organizing your work for a systematic delivery, particularly in breaking down larger tasks (Epics) into smaller traceable actions (User Stories);
- Fluent English speaking and writing skills.
What you can expect from us:
Attractive remuneration package;
A hybrid and flexible working model to promote a better work-life balance;
2 volunteering days a year and 4 additional days given to your 22 days of leave;
Free Health Insurance and access to our on-site medical center;
Possibility to enroll in sports activities, both on-campus and through several discounted partner gyms available;
Access to Siemens Learning Platforms that allow for internal online courses, as well as external platforms such as Coursera, Udemy, and LinkedIn Learning;
A shuttle bus to commute to the facilities, free on-campus parking equipped with free charging points for your electric vehicle, and special tariffs for train trips with CP;
Various discounts via multiple portals and partnered websites.
If you are passionate about shaping the future of the railway industry with innovative solutions and meet the above qualifications, we would love to hear from you.
Apply Now! Join us and become part of a team that drives digital transformation in the railway industry through cutting-edge technology and innovative solutions.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Angular APIs Architecture AWS Computer Science Data Analytics DevOps Docker Engineering Excel Git GraphQL JavaScript Machine Learning ML models Node.js PostgreSQL RDBMS React SQL Vue
Perks/benefits: Flex hours Medical leave
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