At a Glance
- Tasks: Create and enhance data models while collaborating with clients and data architects.
- Company: Join a leading tech consultancy with over 20 years of experience and big-name clients.
- Benefits: Earn £600-£700 per day, with a flexible 4-day onsite work schedule in Edinburgh.
- Why this job: Be part of exciting projects and contribute to innovative data solutions in a dynamic environment.
- Qualifications: Experience in Data Modelling, SQL, Python, and tools like Databricks and Event Hubs required.
- Other info: This is a 12-month contract role operating outside IR35.
The predicted salary is between 120000 - 140000 £ per year.
Job Description
Data Modeller
12-month contract
£600 – £700 per day
Outside IR35
Edinburgh – 4 days a week onsite
iO Associates are working with an established and rapidly growing Technology consultancy who are on the lookout for a Data Modeller to join them on a contract basis
Founded over 20 years ago, the specialise in on-premises, hybrid and cloud integration solutions. They've worked with clients such as BBC, O2, Tesco and Virgin Atlantic. After another year of continued success, they are hiring after winning a number of new exciting projects
As a Data Modeller, you will work closely with the client and be responsible for creating, maintaining, and enhancing data models while supporting data architects with innovative solutions
To be successful, you will have:
- Data Modelling: Kimball, Data Vault, Canonical
- SQL
- Unity Catalog
- Databricks / Spark
- Event Hubs
- Python (applied to data validation/modelling)
The role is operating Outside IR35 paying £600-£700 per day and requires you to be onsite in Edinburgh 4 days a week
Please apply using the link or get in touch on 0117 332 8100/ email me on r.long @ ioassociates.co.uk
Data Modeller employer: iO Associates - UK/EU
Contact Detail:
iO Associates - UK/EU Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeller
✨Tip Number 1
Familiarise yourself with the specific data modelling techniques mentioned in the job description, such as Kimball and Data Vault. Being able to discuss these methodologies confidently during your interview will demonstrate your expertise and understanding of the role.
✨Tip Number 2
Brush up on your SQL skills, as this is a crucial part of the job. Consider working on sample projects or exercises that involve complex queries to showcase your proficiency when discussing your experience with data modelling.
✨Tip Number 3
Network with professionals in the data modelling field, especially those who have experience with Databricks and Spark. Engaging in conversations or attending meetups can provide insights and potentially lead to referrals for the position.
✨Tip Number 4
Prepare to discuss how you've applied Python in data validation or modelling in past projects. Real-world examples will help you stand out and show that you can bring practical skills to the team.
We think you need these skills to ace Data Modeller
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the specific skills and experiences required for the Data Modeller position. Highlight your familiarity with data modelling techniques like Kimball and Data Vault.
Tailor Your CV: Customise your CV to reflect relevant experience in data modelling, SQL, and any tools mentioned such as Databricks or Spark. Use keywords from the job description to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data modelling and your ability to work collaboratively with clients. Mention specific projects or achievements that demonstrate your expertise in the required technologies.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a Data Modeller role.
How to prepare for a job interview at iO Associates - UK/EU
✨Know Your Data Modelling Techniques
Make sure you brush up on your knowledge of data modelling techniques like Kimball, Data Vault, and Canonical. Be prepared to discuss how you've applied these methods in past projects, as this will show your expertise and relevance to the role.
✨Familiarise Yourself with SQL and Python
Since SQL and Python are crucial for this position, ensure you can demonstrate your skills in these areas. You might be asked to solve a problem or explain how you've used these languages for data validation and modelling in previous roles.
✨Understand the Company’s Clients and Projects
Research the company’s notable clients like BBC, O2, and Tesco. Understanding their projects and how your role as a Data Modeller fits into their success will help you tailor your answers and show genuine interest in the company.
✨Prepare Questions for Your Interviewers
Have a few insightful questions ready to ask your interviewers. This could include inquiries about the team structure, the types of projects you'll be working on, or how they measure success in the role. It shows you're engaged and thinking critically about the position.