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- Tasks: Design and develop data models that meet business needs and support analytics.
- Company: Join a forward-thinking company focused on data-driven solutions and innovation.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth.
- Why this job: Be part of a Data Modelling Centre of Excellence and make a real impact.
- Qualifications: Strong communication skills and experience with data modelling tools are essential.
- Other info: Must have the right to work in the UK; no visa sponsorship available.
The predicted salary is between 36000 - 60000 £ per year.
Job Description: Data Modelling Specialist
About the Role
The Data Modelling Specialist is responsible for designing fit-for-purpose conceptual, logical, and physical data models aligned with business requirements. These models serve analytical, business intelligence, and operational use cases, primarily within the data platform.
Key Accountabilities & Responsibilities
• Collaborate in the development of a Data Modelling Centre of Excellence.
• Contribute to the definition, dissemination, and execution of the Data Modelling Framework and architecture.
• Provide support and guidance on best practices for federated modelling teams in high-pressure environments.
• Offer ad hoc deep-dive support to remove modelling bottlenecks and accelerate team delivery.
• Support various data modelling activities (e.g., CDM, LBM, PDM) and integrate metadata.
• Assist in achieving Data Enablement Services goals and activities.
• Establish close collaboration with architecture and engineering functions.
• Ensure alignment with Enterprise Data Model targets/common standards and drive clarity on Business Domains/Data Domains definitions and agreements.
• Lead modelling pipeline code QA/recommendations and define a common function library for pipelines (e.g., MOL calculations).
• Coordinate with product, programme, and squad leads to ensure adherence to strict methods, meet stage gates, and report on DM activities at the programme level.
Specialist Skills & Experience
• Excellent communication and presentation skills.
• Solid understanding of databases, platforms, and technologies.
• Experience with analytics tools and data-driven decision-making.
• Familiarity with Agile frameworks and methodologies.
• Strong analytical and problem-solving skills, with the ability to translate complex business requirements into data models.
• Understanding of data modelling principles, processes, and policies, with experience using key data modelling tools.
• Proven ability to engage with both Business and IT stakeholders to document business outcomes and objectives.
• Ability to support data management goals and establish collaboration with architecture and engineering functions.
Technical Skills
• Expertise in entity relationship, dimensional, and NOSQL modelling using IE or other common notations.
• Proficiency in SQL, DDL, DML, and Pyspark scripting.
• Experience with tools such as ERWIN and Visio/UML for data modelling.
• Familiarity with Azure Data Factory, Azure DevOps, and Databricks is desirable.
Additional Information
• Applicants must have the right to work in the UK.
• Visa sponsorship is not available for this position.
If you are a Data Modelling Specialist with the skills and experience outlined above, we encourage you to apply.
Data Modeler employer: PRACYVA
Contact Detail:
PRACYVA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler
✨Tip Number 1
Make sure to showcase your experience with data modelling tools like ERWIN and Visio/UML during the interview. Be prepared to discuss specific projects where you utilized these tools effectively.
✨Tip Number 2
Brush up on your SQL, DDL, DML, and Pyspark scripting skills. You might be asked to solve a problem or demonstrate your technical knowledge in these areas, so practice is key!
✨Tip Number 3
Familiarize yourself with Agile methodologies, as this role emphasizes collaboration in high-pressure environments. Be ready to share examples of how you've successfully worked in Agile teams.
✨Tip Number 4
Prepare to discuss how you engage with both Business and IT stakeholders. Highlight your ability to translate complex business requirements into actionable data models, as this is crucial for the role.
We think you need these skills to ace Data Modeler
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Data Modelling Specialist. Familiarize yourself with data modelling principles and the specific tools mentioned in the job description.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job description. Emphasize your expertise in data modelling, SQL, and any experience with tools like ERWIN and Azure Data Factory.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for data modelling and your ability to collaborate with both business and IT stakeholders. Mention specific examples of how you've successfully contributed to similar projects in the past.
Highlight Communication Skills: Since excellent communication and presentation skills are crucial for this role, provide examples in your application that demonstrate your ability to convey complex information clearly and effectively to diverse audiences.
How to prepare for a job interview at PRACYVA
✨Showcase Your Data Modelling Expertise
Be prepared to discuss your experience with various data modelling techniques, such as entity relationship and dimensional modelling. Highlight specific projects where you successfully translated complex business requirements into effective data models.
✨Demonstrate Communication Skills
Since excellent communication is key for this role, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical stakeholders can understand, showcasing your ability to bridge the gap between Business and IT.
✨Familiarize Yourself with Relevant Tools
Make sure you are well-versed in the tools mentioned in the job description, such as ERWIN, Visio/UML, and SQL. If you have experience with Azure Data Factory or Databricks, be ready to discuss how you've used these tools in past projects.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in high-pressure environments. Think of examples where you removed bottlenecks in data modelling processes or contributed to a Data Modelling Centre of Excellence.
