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Artificial Intelligence Data Engineer - Energy Systems

AT GE Vernova
GE Vernova

Artificial Intelligence Data Engineer - Energy Systems

Stafford, United Kingdom

Job Description Summary

Join us in our journey to redefine what's possible with AI and make a lasting impact on the world of Energy.

Many employers promise the chance to make a difference - at GE Vernova, you can change the world. Bringing clean, affordable power to the developing world, decarbonising the world's electricity network, helping to build the grid of the future powered by renewable energy ... they're all part of our company's strategy. If you're passionate about applying AI, and excited to tackle UN SDG-7,13 and Energy Transition challenges, as well as motivated by the prospect of shaping the future of energy industry through innovation and new business models, we encourage you to apply.

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We are seeking a dynamic, forward-thinking and results-driven Data Engineer, who will work on designing, building and maintaining infrastructure and data pipeline for effective collection, storage, process and analysis of data for various grid innovation applications.

Reporting to AI leader in CTO organisation, the Data Engineer will work in close collaboration with GA product lines, R&D teams, product management and other GA functions.

This role will also be responsible to work with other functions across Grid Automation (GA) business to identify areas where the business can leverage common framework for data storage and data analytics to drive efficiency, and quickly develop POCs to solve critical problems for our customers and build state-of-the-art models and deploy them on edge or cloud based systems.

Job Description

Responsibilities:

  • Develop and maintain database structures, schemas and data models.
  • Apply efficient storage technologies (Relational, Data lakes, NoSQL etc.) to manage data storage, access and data security.
  • Developing and maintaining effective scalable and reliable data pipeline for data cleaning, munging, feature extraction, transformation of structured and unstructured data.
  • Build and maintain integrations with internal and external data sources and APIs.
  • Identify and integrate new datasets that can be leveraged through our product capabilities.
  • Automate Integration of data from various sources in a unified format and create transformation structure to based on business specific utilisation needs.
  • Monitor and optimise data pipeline for scalable system.
  • Establish appropriate data quality checks and follow data governance policies.
  • Work closely with other adjacency functions such as Data Scientists and ML engineers to cater relevant data expectations.
  • Collaborate with cross-functional teams of product management, R&D, and other functions, to understand their needs and develop innovative solutions.

At GE Vernova - Grid Automation, you will have the opportunity to work on cutting-edge projects that shape the future of energy. We offer a collaborative environment where your expertise will be valued, and your contributions will make a tangible impact. Join us and be part of a team that is driving innovation and excellence in control systems.

About GEV Grid Solutions:

At GEV Grid Solutions we are electrifying the world with advanced grid technologies. As leaders in the energy space our goal is to accelerate the transition for a more energy efficient grid to full fill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotable role in integrating Renewables onto the grid to drive to carbon neutral. In Grid Solutions we help enable the transition for a greener more reliable Grid. GE Grid Solutions has the most advanced and comprehensive product and solutions portfolio within the energy sector.

Why we come to work:

At GEV, our engineers are always up for the challenge - and we're always driven to find the best solution. Our projects are unique and interesting, and you'll need to bring a solution-focused, positive approach to each one to do your best. Surrounded by committed, loyal colleagues, if you can dare to bring your ingenuity and desire to make an impact, you'll be exposed to game-changing, diverse projects that truly allow you to play your part in the energy transition.

What we offer:

A key role in a dynamic, international working environment with a large degree of flexibility of work agreements

Competitive benefits, and great development opportunities - including private health insurance.

Additional Information

Relocation Assistance Provided: No

Client-provided location(s): Stafford, UK
Job ID: GE_Vernova-2089668682
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Adoption Assistance Program
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Adoption Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Summer Fridays
  • Financial and Retirement

    • 401(K)
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
    • Profit Sharing
  • Professional Development

    • Tuition Reimbursement
    • Access to Online Courses
    • Lunch and Learns
    • Leadership Training Program
    • Internship Program
    • Associate or Rotational Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Unconscious Bias Training

Company Videos

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