Job summary
Job post source
This job is directly from Natural Power
Job overview
The Renewable Energy Consulting Data Engineer at Natural Power is responsible for building and optimizing data pipelines and integrating AI/ML models to support renewable energy analytics, impacting the company's advisory and analytics services.
Responsibilities and impact
The role involves designing and maintaining scalable data systems, leading data engineering efforts, integrating AI/ML tools, managing data pipelines and ETL processes, aligning with global IT standards, documenting workflows, and collaborating with stakeholders to deliver tailored data solutions.
Experience and skills
Candidates need a bachelor's degree in a relevant field, proficiency in Python and AI tools like Microsoft Copilot, strong SQL and NoSQL knowledge, experience with ETL and AI/ML model deployment, and strong problem-solving and communication skills.
Career development
Natural Power supports personal development within a diverse international community, offering opportunities to advance careers in renewable energy with innovative and inclusive culture.
Work environment and culture
The company values innovation, inclusivity, and support, fostering a diverse and equal opportunity environment committed to high expertise and client commitment globally.
Company information
Natural Power is a 25-year-old pioneer in renewable energy, providing consultancy and analytics services in wind, solar, and battery storage sectors globally.
Application process
Applicants are encouraged to save the full role profile from the company's website before the closing date; details and other opportunities are available online.
Unique job features
The role uniquely combines data engineering with AI/ML integration in renewable energy consultancy, requiring independent work as the sole data engineer/AI specialist in the US aligned with global standards.
Company overview
Natural Power is a global renewable energy consultancy and service provider specializing in onshore wind, offshore wind, solar, hydro, and energy storage projects. They generate revenue through consulting services, project management, and operational support for renewable energy projects. Founded in 1995, the company has grown significantly, establishing a strong presence in Europe, North America, and Asia. Their commitment to sustainability and innovation has positioned them as a leader in the renewable energy sector, helping clients navigate the complexities of clean energy transitions.
How to land this job
Tailor your resume to emphasize your expertise in building and maintaining scalable data pipelines, your proficiency in Python, SQL, NoSQL, and cloud databases, and your experience integrating AI/ML models into data workflows as highlighted in the job description for the Renewable Energy Consulting Data Engineer at Natural Power.
Highlight your ability to work independently while collaborating effectively across teams, especially your skills in translating complex technical concepts for non-expert stakeholders, which aligns with the consulting and advisory focus of the role.
Apply through multiple channels including Natural Power's corporate careers page at www.naturalpower.com/careers and LinkedIn to maximize your visibility and chances of being noticed for this position.
Connect with current employees in the data engineering or analytics divisions at Natural Power on LinkedIn; use ice breakers like commenting on their recent renewable energy projects, asking about their experience with AI/ML in consultancy, or expressing enthusiasm for Natural Power’s commitment to innovation and sustainability.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data pipelines,' 'AI/ML integration,' 'Python,' 'SQL,' 'cloud databases,' 'ETL,' and 'renewable energy analytics' to ensure your application passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature, which automates tailoring your resume, identifies the best application platforms, and finds relevant LinkedIn contacts for networking, allowing you to focus your time and energy on preparing for interviews and deepening your industry knowledge.
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