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For Companies At a Glance
- Tasks: Revise and enhance a critical data model 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 opportunity to make an impact.
- Other info: Initial 2-month contract with potential for extension and career growth.
- Why this job: Shape the future of energy infrastructure while collaborating with top professionals.
- Qualifications: 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 Manchester 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 Manchester
✨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 put in a good word for you.
✨Tip Number 2
Get your LinkedIn game on point! Make sure your profile is up-to-date and showcases your data modelling skills. Join relevant groups and engage with posts to increase your visibility in the industry.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data modelling and think of examples that highlight your experience in the energy sector.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and keep track of your progress. Plus, it shows you're serious about landing that Data Modeller gig with us!
We think you need these skills to ace Data Modeler in Manchester
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 experiences that demonstrate your ability to communicate and work well with others.
✨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 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 gauge if it’s the right fit for you.