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For Companies At a Glance
- Tasks: Revise and enhance critical data models for a large-scale energy platform.
- Company: Join a leading company in the energy sector with a focus on innovation.
- Benefits: Competitive daily rate, flexible work environment, and collaborative team culture.
- Other info: Opportunity to work in a dynamic environment with potential for future projects.
- Why this job: Make a real impact on energy infrastructure while working with cutting-edge technology.
- Qualifications: Extensive experience in data modeling and strong collaboration skills required.
Location: London 2 days per week
Contract Length: Initial 2 Months (Inside IR35)
The Opportunity
We are seeking an experienced Data Modeller to lead the revision and enhancement of a critical data model for a large-scale Platform within the energy sector. The current data model requires significant updates to align with the platform's rapid evolution and expanded functionality. You will work collaboratively with an established platform engineering team and a group of senior architects to ensure the data model meets all business and technical requirements for a modern, resilient energy infrastructure.
Key Responsibilities
- Audit and Gap Analysis: Analyze the current Platform data model to identify gaps, inconsistencies, and areas for improvement.
- Design and Implementation: Design a revised data model that supports enhanced platform capabilities and future-proofs the system architecture.
- Cross-Functional Collaboration: Partner closely with engineering teams and consultancy architects to ensure data structures align with overall system goals.
- Technical Documentation: Create comprehensive, high-quality documentation for the new data model.
- Data Migration Support: Oversee and support the transition of data from the legacy model to the enhanced version.
- Integrity and Validation: Validate data integrity across the platform post-implementation.
- Stakeholder Management: Work with business stakeholders to ensure the model reflects complex energy sector processes.
- Security and Compliance: Ensure the model adheres to strict industry security and regulatory standards.
Required Skills and Experience
- Data Expertise: Extensive experience in data modeling, database design, and enterprise data architecture.
- Technical Proficiency: Mastery of ER diagrams, as well as logical and physical data modeling techniques.
- Tooling: Proven experience with industry-standard data modeling tools and SQL/NoSQL database management systems.
- Governance: Strong understanding of data governance principles and best practices.
- Translation: Ability to translate complex business requirements into high-performance technical data structures.
- Collaboration: Excellent soft skills for working effectively within a multi-vendor, multi-disciplinary team environment.
Preferred Qualifications
- Direct experience with Energy Sector platforms.
- Functional knowledge of balancing platforms, energy trading systems, or grid management applications.
£450.00 - £500.00 / day
Data Modeler in Newcastle upon Tyne employer: TALENT INTERNATIONAL UK LTD
Contact Detail:
TALENT INTERNATIONAL UK LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to your connections in the energy sector and let them know you're on the hunt for a Data Modeller role. A personal recommendation can make all the difference, so don’t be shy about asking for introductions.
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your data modelling skills. Join relevant groups and engage with posts to get noticed by potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to data modelling and the energy sector. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll have access to exclusive job listings that might not be available elsewhere.
We think you need these skills to ace Data Modeler in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Modeller role. Highlight your experience in data modeling and any relevant projects you've worked on, especially in the energy sector. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Don’t forget to showcase your technical proficiency! Mention your mastery of ER diagrams and any data modeling tools you’ve used. We love seeing candidates who can translate complex requirements into effective data structures.
Keep It Clear and Concise: When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication that gets to the point!
Apply Through Our Website: Finally, make sure to apply through our website! This helps us keep track of your application and ensures you’re considered for the role. Don’t wait too long – we’re expecting a high volume of applicants!
How to prepare for a job interview at TALENT INTERNATIONAL UK LTD
✨Know Your Data Inside Out
Before the interview, make sure you brush up on your data modelling skills. Be ready to discuss your experience with ER diagrams and how you've tackled complex data structures in the past. This will show that you’re not just familiar with the concepts but can apply them effectively.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineering teams and architects, prepare examples of how you've successfully collaborated in previous projects. Highlight any cross-functional teamwork that led to improved outcomes, as this will demonstrate your ability to fit into their multi-disciplinary environment.
✨Prepare for Technical Questions
Expect some technical questions related to data governance and compliance, especially in the energy sector. Brush up on industry standards and be ready to explain how you ensure data integrity and security in your models. This will help you stand out as a knowledgeable candidate.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current challenges they face with their data model or how they envision the platform evolving. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.