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For Companies At a Glance
- Tasks: Design and implement data models while collaborating with data professionals.
- Company: Join Smartedge Solutions, a leader in IT services and data analytics.
- Benefits: Enjoy a full-time role with opportunities for growth and learning.
- Why this job: Be part of a dynamic team that nurtures a data-driven culture and promotes innovation.
- Qualifications: Experience with Snowflake, AWS, SQL, and strong communication skills are essential.
- Other info: This is a mid-senior level position based in London.
The predicted salary is between 108000 - 144000 £ per year.
The Role: As a Data Modeler, you will be responsible for designing and implementing data models to support complex data environments.
Your responsibilities:
- Engage with other data modelers, data architects and data professionals to continually improve the data modelling landscape.
- Governance and oversight of data models ensuring they conform to agreed principles and standards.
- Supporting the delivery of change activity and ensuring that Business Domain Models meet the business needs.
- Nurturing a data culture and promoting data model usage.
- Assisting with implementing data models into the change and governance frameworks.
- Building conceptual and logical data models that accurately represent data relationships.
- Working with both technical and business teams to elicit requirements and understand the business.
Your Profile: Essential skills/knowledge/experience:
- Experience in Snowflake, DBT, Glue, Airflow.
- Experience with AWS Services.
- Good communication and stakeholder management skills.
- Ability to communicate with both business and technical colleagues at all levels.
- Knowledge of SQL and Data Modeling.
- Ability to learn and adapt quickly.
- Ability to work independently and as a part of a team.
- Adept problem solver with a flair for logical and lateral thinking.
- Experience of conceptual and logical data modelling.
- Knowledge of Domain Driven Design (DDD) and DAMA.
- Experience with data analytics, APIs, databases, and related technologies.
Data Modeller employer: Smartedge Solutions
Contact Detail:
Smartedge Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeller
✨Tip Number 1
Engage with professionals in the data modelling field on platforms like LinkedIn. Follow and connect with data modelers, architects, and industry leaders to gain insights and potentially get referrals.
✨Tip Number 2
Join relevant online communities or forums where data modelling is discussed. Participating in these discussions can help you stay updated on industry trends and showcase your knowledge to potential employers.
✨Tip Number 3
Attend webinars or workshops focused on data modelling and related technologies like Snowflake and AWS. This not only enhances your skills but also allows you to network with other professionals in the field.
✨Tip Number 4
Consider reaching out directly to the hiring manager or team lead at Smartedge Solutions via direct message. Express your interest in the Data Modeller position and briefly highlight your relevant experience to make a memorable impression.
We think you need these skills to ace Data Modeller
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Modeler at Smartedge Solutions. Familiarise yourself with the tools and technologies mentioned in the job description, such as Snowflake, DBT, and AWS services.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your knowledge of SQL, data modelling, and any experience with conceptual and logical data models.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data modelling and your ability to work with both technical and business teams. Mention specific projects or experiences that demonstrate your problem-solving skills and adaptability.
Highlight Communication Skills: Since good communication and stakeholder management skills are essential for this role, provide examples in your application that illustrate your ability to communicate effectively with diverse teams and stakeholders.
How to prepare for a job interview at Smartedge Solutions
✨Showcase Your Technical Skills
Make sure to highlight your experience with Snowflake, DBT, Glue, and Airflow during the interview. Be prepared to discuss specific projects where you utilised these tools, as this will demonstrate your hands-on expertise.
✨Communicate Effectively
Since the role requires interaction with both technical and business teams, practice explaining complex data concepts in simple terms. This will show that you can bridge the gap between different stakeholders and ensure everyone is on the same page.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've tackled challenges in data modelling or analytics. Discuss your thought process and the steps you took to arrive at a solution, showcasing your logical and lateral thinking abilities.
✨Understand the Business Context
Familiarise yourself with the business domain relevant to the role. Being able to articulate how your data models can support business needs will set you apart and show that you understand the bigger picture.
