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 career growth.
- 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.
The predicted salary is between 45000 - 50000 £ per year.
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 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
✨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. You never know who might have the inside scoop on openings or can put in a good word for you.
✨Tip Number 2
Get your portfolio ready! Showcase your previous data modelling projects, especially those relevant to the energy sector. A strong portfolio can really set you apart and give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss ER diagrams and data governance principles in detail. Practising common interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Data Modeler
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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific experiences that demonstrate your expertise in data architecture and collaboration with engineering teams. We love a good story!
Showcase Your Technical Skills: Don’t forget to highlight your technical proficiency! Mention your mastery of ER diagrams, SQL/NoSQL databases, and any industry-standard tools you’ve used. We’re keen to see how you can contribute to our platform's evolution.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
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, be prepared to share examples of how you've successfully collaborated in previous projects. Highlight any cross-functional teamwork experiences that demonstrate your ability to communicate and align with diverse stakeholders.
✨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.
✨Bring Documentation Samples
If possible, bring along samples of your technical documentation from previous projects. This could include data models or migration plans. It’s a great way to visually demonstrate your expertise and attention to detail, which are crucial for this role.