Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement enterprise-level data models while collaborating with teams.
- Company: Join a dynamic team in Chester focused on innovative data solutions.
- Benefits: Enjoy a hybrid work model with 3 days in the office and flexible hours.
- Why this job: Be part of a cutting-edge data architecture team making impactful decisions.
- Qualifications: Hands-on experience in data modeling and proficiency in tools like Power Designer required.
- Other info: Ideal for tech-savvy individuals eager to enhance their data skills.
The predicted salary is between 36000 - 60000 £ per year.
Position Details:
Job Title: Data Modeler
Role type: Perm
Location: Chester (3 Days a week in Office)
Job Description:
Candidates need to have Power Designer/Erwin experience
Key Responsibilities:
- Data Modeling: Design and implement enterprise-level data models, ensuring adherence to best practices in data modeling methodologies, including 3NF, dimensional modeling, and data vault techniques.
- Data Architecture: Collaborate with data architects, business analysts, and developers to define and design data architecture solutions, including data warehouses, data marts, and operational data stores (ODS).
- Database Design: Create and maintain relational and NoSQL database designs for a variety of platforms, such as SQL Server, Oracle, Netezza, Teradata, DB2, MongoDB, and Elasticsearch.
- Tool Expertise: Utilize advanced data modeling tools like Power Designer and Erwin to develop, analyze, and optimize data models.
- Collaboration: Work closely with business stakeholders to gather requirements and translate them into scalable data models that meet analytical and operational needs.
- ETL Integration: Support ETL processes by ensuring data models align with extraction, transformation, and load (ETL) requirements.
- Data Analysis: Conduct in-depth data analysis to ensure the accuracy, consistency, and integrity of data within the models.
- Documentation: Maintain comprehensive documentation of data models, database designs, and data architecture processes.
- Optimization: Continuously assess and improve data models to enhance performance, scalability, and maintainability.
Qualifications:
- Experience:
- hands-on experience in data modeling and database design.
- Expertise in data modeling methodologies such as 3NF, dimensional, and data vault modeling.
- Strong understanding of data architecture concepts, including data warehousing, data marts, ODS, ETL processes, and analytics/reporting.
- Proven experience with relational databases (SQL Server, Oracle, Teradata, etc.) and NoSQL databases (MongoDB, Elasticsearch, etc.).
- Technical Skills:
- Proficiency in data modeling tools such as Power Designer, Erwin, or equivalent.
- Strong SQL skills for data analysis and validation.
- Familiarity with modern data platforms and cloud environments (AWS, Azure, or GCP) is a plus.
- Soft Skills:
- Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Strong problem-solving skills and attention to detail.
- Ability to work both independently and collaboratively in a fast-paced environment.
Data Modeler employer: Ascendion
Contact Detail:
Ascendion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler
✨Tip Number 1
Familiarize yourself with the specific data modeling methodologies mentioned in the job description, such as 3NF, dimensional modeling, and data vault techniques. Being able to discuss these methodologies confidently during your interview will demonstrate your expertise and alignment with our needs.
✨Tip Number 2
Make sure to highlight any experience you have with the advanced data modeling tools like Power Designer and Erwin. If you have worked on projects using these tools, be prepared to share specific examples of how you utilized them to solve complex data modeling challenges.
✨Tip Number 3
Since collaboration is key in this role, think of instances where you've successfully worked with cross-functional teams, such as data architects or business analysts. Be ready to discuss how you gathered requirements and translated them into effective data models.
✨Tip Number 4
Stay updated on modern data platforms and cloud environments like AWS, Azure, or GCP. Even if it's not a strict requirement, showing that you're knowledgeable about these technologies can set you apart from other candidates and demonstrate your commitment to continuous learning.
We think you need these skills to ace Data Modeler
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your hands-on experience in data modeling and database design. Mention specific projects where you utilized methodologies like 3NF, dimensional modeling, or data vault techniques.
Showcase Tool Proficiency: Clearly state your proficiency with data modeling tools such as Power Designer and Erwin. Provide examples of how you've used these tools to develop and optimize data models.
Demonstrate Collaboration Skills: Illustrate your ability to work closely with business stakeholders. Share instances where you gathered requirements and translated them into scalable data models that met analytical needs.
Detail Your Technical Skills: List your technical skills, especially your SQL expertise and familiarity with both relational and NoSQL databases. If you have experience with cloud environments like AWS, Azure, or GCP, be sure to mention that as well.
How to prepare for a job interview at Ascendion
✨Showcase Your Data Modeling Expertise
Be prepared to discuss your hands-on experience with data modeling methodologies like 3NF, dimensional modeling, and data vault techniques. Highlight specific projects where you successfully implemented these methodologies.
✨Demonstrate Tool Proficiency
Since the role requires expertise in tools like Power Designer and Erwin, be ready to provide examples of how you've used these tools in past projects. Discuss any challenges you faced and how you overcame them using these tools.
✨Collaborate Effectively
Emphasize your ability to work with cross-functional teams, including data architects and business analysts. Share experiences where you gathered requirements from stakeholders and translated them into effective data models.
✨Prepare for Technical Questions
Expect technical questions related to database design and ETL processes. Brush up on your SQL skills and be ready to explain how you ensure data accuracy, consistency, and integrity within your models.
