Lead Software Developer

3 meses atrás

Leça do Balio, Portugal Vestas Tempo inteiro

Are you on the lookout for your next big career move?

Vestas Technology & Operations > Research & Development (R&D) > Plant Design & Risk Modelling

Plant Design & Risk Modelling is anchored in Vestas R&D. Vestas R&D is where new product ideas and technologies are developed, matured, tested, and improved. To put in short, Vestas Power R&D is the cornerstone of Vestas - we are shaping the future of modern energy.

The Plant Design & Risk Modelling is developing Vestas' site assessment platform, ensuring risk offerings and warranty framework. We develop solutions for minimizing value at risk, all carried out in close collaboration with stakeholders across Vestas' value chain. The department consists of highly skilled, international, highly experienced, cross-discipline employees located across Portugal, Denmark and India.

We encourage a culture based on accountability and give employees the chance to create meaningful, real-world impact through their work. We also cultivate employee performance and growth by providing an inclusive, motivating environment with collaboration at its core. You will experience a team of great diversity both within competencies, experience, gender, and nationality.

Responsibilities

The responsibilities span from strategic development of new technologies to delivering internal tools and products in Power Curve Verification area. In this team, we need a new team-member who focuses on the delivery of user-friendly data analyses software to the end users. Suitable candidates will be required to:

Design architectures for secure data-driven and data-intensive applications and products Iteratively refine architectures to match a modern business environment Develop subsystems / modules for use in these architectures and reuse across multiple systems

Qualifications

3-5 years of experience within the area of software development/engineering Proficient in any high-level object-oriented programming language (e.g., Python, R, C#, or other), currently the team are mainly programming in R. Experience with applying Machine learning and data mining Experience with databases/data storage e.g. advanced queries and index creation. Experience with Azure, Kubernetes, Docker, CI/CD and test-driven development. Knowledge of visualization tools like Dataiku Data Science Studio and R shiny is advantageous. Experience from the wind industry is beneficial but not a requirement.

Competencies

To ensure growth in the position we expect that:

You are creative, result oriented and have a high sense of accountability. You are able to deliver on your commitments with the right quality You have a creative approach to new tasks You work as part of a team, and it comes naturally to you to collaborate and share knowledge You have robust communication skills and are fluent in English (spoken and written)

What we offer

If you would like to join an innovative and international environment, with great possibilities for personal development and the best of colleagues, then Vestas and Plant Design & Risk modelling offers just that. With , employees globally, we are a diverse team united by a common goal: to power the solution - today, tomorrow, and far into the future. Join us in the fight for a more sustainable world.

Additional information

We look forward to receiving your application as soon as possible, as we will be reviewing applications on a rolling basis. To apply for this opportunity please submit your resume in English.

DEIB Statement
At Vestas, we recognize the value of diversity, equity, and inclusion in driving innovation and success. We strongly encourage individuals from all backgrounds to apply, particularly those who may hesitate due to their identity or feel they do not meet every criterion. As our CEO states, "Expertise and talent come in many forms, and a diverse workforce enhances our ability to think differently and solve the complex challenges of our industry". Your unique perspective is what will help us powering the solution for a sustainable, green energy future.

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