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- Tasks: Design and implement innovative data solutions for utilities using GridOS.
- Company: Join a forward-thinking company focused on grid modernization and energy analytics.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real difference in the energy sector while working with cutting-edge technologies.
- Qualifications: Degree in Computer Science or related field with experience in data management.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Role: Customer Support Engineer - GridOS (Kubernetes + Kafka)
Experience with GridOS or other grid data management platforms. Knowledge of utility operations, grid modeling, and distributed energy resource management. Familiarity with real-time data streaming and IoT integration.
Key Responsibilities:
- Design and implement GridOS Data Fabric solutions to streamline data access and management for utilities.
- Develop data integration pipelines that unify operational (OT), informational (IT), and external data sources (e.g., weather, traffic).
- Configure and manage metadata catalogs to ensure effective data governance, security, and compliance.
- Collaborate with business and IT teams to enhance data discovery, quality, and utilization across the enterprise.
- Support real-time and batch data processing using big data technologies and cloud platforms.
- Optimize data workflows to enable AI, machine learning, and advanced analytics applications.
- Provide technical support and troubleshooting for GridOS Data Fabric deployments.
- Stay up to date with advancements in grid modernization, data management, and energy analytics.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- 3+ years of experience in data management, integration, or analytics for utilities or energy sectors.
- Strong knowledge of data fabric architectures, metadata management, and data governance principles.
- Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka).
- Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks.
- Strong problem-solving skills and ability to work in a cross-functional environment.
Customer Support Engineer - GridOS employer: Stackstudio Digital Ltd.
Contact Detail:
Stackstudio Digital Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Support Engineer - GridOS
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with GridOS or similar platforms. Attend meetups or webinars to connect with potential employers and show them your enthusiasm.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to data management and integration. This gives you a chance to demonstrate your expertise in real-time data streaming and IoT integration.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Kubernetes, Kafka, and big data technologies. Be ready to discuss how you've tackled challenges in data workflows and how you can optimise processes for AI and machine learning.
✨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 proactive about their job search!
We think you need these skills to ace Customer Support Engineer - GridOS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Customer Support Engineer - GridOS. Highlight your experience with Kubernetes, Kafka, and any relevant grid data management platforms. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data management in the utilities sector and how your background makes you a perfect fit for us. Keep it engaging and personal!
Showcase Relevant Experience: When detailing your work history, focus on your experience with data integration pipelines and real-time data processing. We love seeing specific examples of how you've tackled challenges in previous roles, especially in the energy sector.
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’s super easy – just follow the prompts!
How to prepare for a job interview at Stackstudio Digital Ltd.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Kubernetes, Kafka, and GridOS. Be ready to discuss how you've used these technologies in past roles, especially in relation to data management and integration for utilities.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous jobs. Think about specific situations where you optimised data workflows or resolved issues with data governance and compliance.
✨Understand the Business Context
Familiarise yourself with the utility operations and grid modelling concepts. Being able to connect your technical skills to real-world applications will impress the interviewers and show that you understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data integration and their future projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
