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- Tasks: Design and implement data models while collaborating with data professionals.
- Company: Join a leading firm in London focused on innovative data solutions.
- Benefits: Enjoy a competitive salary, bonuses, and flexible remote work options.
- Why this job: Be part of a dynamic team shaping the future of data management.
- Qualifications: Experience with Snowflake, AWS, SQL, and strong communication skills required.
- Other info: Work 3 days a week onsite in a vibrant London office.
The predicted salary is between 72000 - 84000 £ per year.
Salary: £85,000 - £95,000 + Benefits and Bonus
Location: London (3 days a week onsite)
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.
- Experience in data vault model.
- Ability to learn and adapt quickly.
- Ability to work independently and as a part of a team.
- Software development experience.
- Adept problem solver with a flair for logical and lateral thinking.
- Experience of conceptual and logical data modelling.
Desirable skills/knowledge/experience:
- Knowledge of Domain Driven Design (DDD) and DAMA.
- Experience with data analytics, APIs, databases, and related technologies.
Data Modeler employer: In Technology Group
Contact Detail:
In Technology Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler
✨Tip Number 1
Network with professionals in the data modelling field. Attend industry meetups or webinars where you can connect with data architects and other data modelers. This can help you gain insights into the role and potentially lead to referrals.
✨Tip Number 2
Familiarise yourself with the specific tools mentioned in the job description, such as Snowflake, DBT, and AWS services. Consider taking online courses or tutorials to enhance your skills in these areas, which will make you a more attractive candidate.
✨Tip Number 3
Prepare to discuss your experience with data governance and oversight during interviews. Be ready to share examples of how you've ensured data models conform to standards and how you've contributed to a data-driven culture in previous roles.
✨Tip Number 4
Showcase your problem-solving abilities by preparing case studies or examples from your past work. Highlight situations where you successfully navigated complex data challenges, as this will demonstrate your capability to handle the responsibilities of a Data Modeler.
We think you need these skills to ace Data Modeler
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Modeler role. Emphasise your expertise in Snowflake, DBT, Glue, and AWS services, as well as your knowledge of SQL and data modelling.
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 is essential for this role, provide examples in your application that illustrate your stakeholder management skills and your ability to convey complex information clearly to different audiences.
Showcase Continuous Learning: Mention any recent courses, certifications, or self-study related to data modelling, AWS services, or other relevant technologies. This shows your commitment to staying updated in the field and your ability to learn quickly.
How to prepare for a job interview at In Technology Group
✨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 and understanding of data modelling.
✨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 to discuss examples of how you've tackled challenging data modelling issues in the past. Highlight your logical and lateral thinking abilities, as well as your approach to finding solutions that meet business needs.
✨Understand the Business Context
Research the company and its industry to understand their data needs. Being able to articulate how your data models can support their business objectives will set you apart from other candidates and show your commitment to contributing to their success.
