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Asset Reliability Engineer - Wind Energy/Data (f/m/x)

Remote:

Full Remote

Contract:

Full time

Work from:

Portugal, Germany

Offer summary

Qualifications:

Master's or bachelor's degree in mechanical engineering, Electrical Engineering, Reliability Engineering, or related field., Proven experience in reliability engineering, predictive maintenance, or asset performance optimization, ideally in renewable energy or wind energy..

Key responsabilities:

Collaborate with cross-functional teams to develop algorithms for predictive maintenance.
Analyze data to predict potential failures and implement reliability models for wind turbines.

ANNEA Startup https://www.annea.ai/

11 - 50 Employees

See more ANNEA offers

Job description

Your mission

We are seeking an experienced and motivated AssetÂ Reliability Engineer with focus on Wind Energy and Data Science to join our dynamic team. As an Asset Reliability Engineer, you will play a pivotal role in advancing our predictive maintenance and asset performance optimization platform for wind turbines. Your expertise will contribute to optimizing the performance and longevity of wind turbines, ensuring their continuous operation, and reducing downtime through proactive maintenance strategies.

KeyÂ responsibilities include:

Collaborate with cross-functional teams including data scientists, software developers, and domain experts to develop and refine algorithms for predictive maintenance and asset optimization.
Analyze historical data, sensor readings, and performance metrics to identify patterns and anomalies that can be used to predict potential equipment failures or suboptimal performance.
Design and implement reliability models, failure modes, and maintenance strategies specific to wind turbine systems.
Develop and maintain a deep understanding of wind turbine components, mechanical systems, electrical systems, and control systems.
Participate in field tests and data collection activities to validate and improve the accuracy of predictive models.
Stay up to date with the latest advancements in wind turbine technology, reliability engineering, and predictive maintenance techniques.
Collaborate with customers to understand their specific needs and challenges, providing technical support and customized solutions.

Â Ultimately, we expect deep industry knowledge as well as technical and excellent industry-related engineering expertise.

Your profile

Masterâs or bachelorâs degree in mechanical engineering, Electrical Engineering, Reliability Engineering, or a related field.
Proven experience in reliability engineering, predictive maintenance, or asset performance optimization, preferably in the renewable energy sector or wind energy domain.
Strong programming skills in languages such as Python, R, or MATLAB for data analysis and modeling.
Familiarity with data preprocessing, statistical analysis, machine learning techniques, and data visualization.
Knowledge of wind turbine components, operation, and maintenance practices is a significant advantage.
Excellent problem-solving abilities, critical thinking skills, and attention to detail.
Effective communication skills with the ability to present technical concepts to both technical and non-technical stakeholders.
Self-motivated and able to work independently as well as collaboratively in a team environment.
Experience with software development and working in an Agile development environment is a plus.

Why us?

Opportunity to work at the forefront of renewable energy technology, contributing to a more sustainable future.
Competitive salary and benefits package.
A collaborative and innovative work environment that encourages professional growth and learning.
The chance to make a meaningful impact by directly contributing to the reliability and efficiency of wind energy systems.

Ready to apply? Please submit applications in English and we look forward to hearing from you!

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About us

ANNEA is a B2B SaaS Cleantech based in Hamburg, Germany and in Lisbon, Portugal. We are an international team of engineers, computer scientists, experts in Internet of Things (IoT) and artificial intelligence - with many years of experience, and a strong background in engineering and IT.

Our visionÂ

Save resources for a more sustainable planet. Therefore, we defined our mission become Â to make machinery more efficient through predictive maintenance and asset optimisation. Here we focus primarily on renewable energy generation.

Our offerÂ

ANNEA offers an end- to-end software-solutions for automated condition-based predictive maintenance for renewable energies. Based on profound domain knowledge, advanced machine learning and sophisticated IoT-techniques we predict future problems in the machines to make renewable energy more competitive to conventional energy generation.

Our commitmentÂ

ANNEA is a progressively equal opportunity employer. We support and encourage diversity. We are committed to creating the utmost inclusive environment for all.