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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: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in the energy sector while working with cutting-edge technologies.
- Qualifications: Degree in Computer Science or related field; experience in data management and analytics required.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
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 in Edinburgh 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 in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working 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 common technical questions related to data governance and cloud platforms. We recommend practising with friends or using mock interview platforms to build your confidence.
✨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 in Edinburgh
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 data management, integration, and any relevant technologies like Kubernetes and Kafka. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about grid data management and how your background makes you a perfect fit for our team. Don’t forget to mention any specific projects or experiences that relate to the job description.
Showcase Relevant Experience: When detailing your work history, focus on roles where you’ve dealt with utilities, data integration, or big data technologies. We love seeing real-world examples of how you’ve tackled challenges similar to those we face at StudySmarter.
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 Stackstudio Digital Ltd.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Kubernetes, Kafka, and data management platforms like GridOS. Be ready to discuss how you've used these technologies in past roles, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, especially in a cross-functional environment. Think of specific situations where you had to troubleshoot issues or optimise data workflows, and be ready to explain your thought process.
✨Understand the Business Context
Familiarise yourself with the utility operations and grid modelling concepts relevant to the role. This will help you connect your technical skills to the business needs, showing that you understand how your work impacts the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data governance, cloud platforms, and real-time data processing. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals.
