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)
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.
Salary £450.00 - £500.00 / day
Data Modeler in London employer: Talent
Join a forward-thinking company in the energy sector that values innovation and collaboration. As a Data Modeller in London, you'll benefit from a dynamic work culture that promotes professional growth and offers flexible working arrangements. With opportunities to work alongside experienced engineers and architects, you will play a crucial role in shaping the future of energy infrastructure while enjoying competitive daily rates and a supportive team environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler in London
✨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 opportunities or can refer you directly.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous data modelling projects, especially those relevant to the energy sector. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for Data Modellers and practice your responses. Be ready to discuss how you've tackled challenges in past projects, particularly around data integrity and collaboration with engineering teams.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly through us can give you a better chance of standing out. Don’t miss out on your dream job!
We think you need these skills to ace Data Modeler in London
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 relate to the key responsibilities and required skills. We love seeing your personality come through!
Showcase Your Technical Skills:Don’t forget to highlight your technical proficiency! Mention your mastery of ER diagrams and any data modeling tools you’ve used. We’re keen to know how you can contribute to our platform’s evolution.
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 don’t miss out on any important updates. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Talent
✨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 multi-disciplinary teamwork experiences, especially in the energy sector, to demonstrate your ability to work well with others.
✨Prepare for Technical Questions
Expect some technical questions about data governance principles and best practices. Brush up on your knowledge of SQL/NoSQL database management systems and be ready to explain how you ensure data integrity and compliance in your models.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current challenges the team is facing with the data model or how they envision the platform evolving. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
