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- Tasks: Design and optimise data pipelines for cutting-edge AI applications in energy systems.
- Company: Join GE Vernova - Grid Automation, a leader in advanced grid technologies.
- Benefits: Enjoy competitive benefits, flexible work agreements, and private health insurance.
- Why this job: Make a real impact on the future of energy with innovative projects.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills required.
- Other info: Collaborative environment with excellent growth opportunities in a dynamic international setting.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Job Description Summary
We are looking for a passionate, creative, and results-driven Data Engineer with solid experience in the role, typically gained through a minimum of 5 years working within multinational manufacturing companies operating in the energy, smart infrastructure, or industrial automation sectors. The ideal candidate has a strong track record of designing and maintaining robust data infrastructures that support advanced AI/ML initiatives.
As part of our AI & Grid Innovation team, you will be responsible for developing, implementing, and optimizing the data pipelines and infrastructure that power cutting-edge AI applications for grid innovation. You will enable efficient data collection, processing, storage, and analysis across complex, high-stakes environments, contributing directly to the success of AI-driven solutions deployed both at the edge and in the cloud.
This role reports to the AI Director, within the CTO organization, and offers a unique opportunity to collaborate closely with Grid Automation product lines, R&D teams, and other business units. Together, you will contribute to creating impactful, sustainable, and inclusive solutions across the domains of energy systems, smart infrastructure, and industrial automation.
Job Description
Key Responsibilities
- Design and maintain database structures, schemas, and data models.
- Apply appropriate storage technologies (Relational, NoSQL, Data Lakes, etc.) to ensure secure and efficient data management.
- Build and manage scalable, reliable data pipelines for data cleaning, transformation, feature extraction, and processing of both structured and unstructured data.
- Integrate data from internal and external APIs, ensuring seamless and automated data flows.
- Identify and onboard new datasets that enhance our AI/ML capabilities and support product development.
- Automate data integration processes and standardize data transformations based on business-specific needs.
- Monitor and optimize pipeline performance to ensure scalability and efficiency.
- Implement data quality checks and adhere to data governance best practices.
- Collaborate closely with Data Scientists and ML Engineers to ensure delivery of high-quality, relevant data.
- Work cross-functionally with Product Management, R&D, and Engineering to translate business needs into technical data solutions.
Must-Have Qualifications
- Bachelor\’s, Master’s, or PhD in Computer Science, Electrical/Computer Engineering, or a related field with a focus on data engineering or electric power systems.
- Proven experience in the energy, smart infrastructure, or industrial automation sectors (e.g., smart grids, SCADA/PLC systems, utilities, Industry 4.0), with deep expertise in system protection, automation, monitoring, and diagnostics – typically acquired through a minimum of 5 years within a multinational manufacturing company.
- Hands‑on experience building and managing production‑grade data pipelines.
- Proficiency in Python, SQL, and one additional language (e.g., Scala, Java).
- Strong knowledge of relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Experience working with cloud platforms like AWS, Azure, or GCP for deploying data systems.
- Solid understanding and hands‑on experience with ETL/ELT processes and workflow automation.
- Experience with data architectures supporting GenAI models.
- Strong communication and collaboration skills; able to work cross‑functionally in fast‑paced environments.
Nice‑to‑Have Skills
- Familiarity with big data technologies like Apache Spark, Kafka, or Hadoop.
- Experience with data visualization tools (e.g., Tableau, Power BI) for reporting and dashboard creation.
- Knowledge of Graph Databases, and cloud‑based data warehousing solutions (e.g., Snowflake, Redshift).
- Data storytelling and the ability to translate insights into actionable business recommendations.
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
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Senior Data Engineer employer: GE Vernova
Contact Detail:
GE Vernova Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the energy and data engineering sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those related to data pipelines and AI/ML initiatives. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data infrastructures or optimising pipelines. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at GE Vernova - Grid Automation.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience in data engineering, especially within the energy or industrial automation sectors. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our AI & Grid Innovation team. Be creative and let us know why you're the perfect fit for this role.
Showcase Relevant Projects: If you've worked on projects that involved building data pipelines or optimising data infrastructures, make sure to mention them. We love seeing real-world examples of your work that demonstrate your expertise and problem-solving skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at GE Vernova
✨Know Your Data Inside Out
Make sure you’re well-versed in the data technologies mentioned in the job description. Brush up on your knowledge of relational and NoSQL databases, as well as cloud platforms like AWS or Azure. Be ready to discuss how you've designed and maintained data infrastructures in your previous roles.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering. Think about times when you had to optimise data pipelines or integrate new datasets. This will demonstrate your hands-on experience and ability to think critically under pressure.
✨Collaborate Like a Pro
Since this role involves working closely with Data Scientists and ML Engineers, be prepared to discuss your collaborative experiences. Highlight any cross-functional projects you've been part of and how you translated business needs into technical solutions. Communication is key!
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in energy systems and smart infrastructure. Being knowledgeable about big data technologies and AI/ML initiatives will show your passion for the field. Bring up any recent developments or tools that excite you during the interview.
