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For Companies At a Glance
- Tasks: Create impactful data models and deliver actionable reports using BigQuery and Python.
- Company: Join a leading consultancy in the financial services sector with a culture of integrity.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real difference in banking by transforming data into insights that drive progress.
- Qualifications: Expertise in BigQuery, Python, and structured data modelling required.
- Other info: Dynamic team environment focused on collaboration and personal development.
The predicted salary is between 39600 - 66000 £ per year.
We are seeking a skilled Data Modeler to join a dedicated team supporting the ongoing operational reporting for the Innovation Banking sector within Commercial Banking. The focus of this role is on delivering simple, accurate, and actionable reports on a daily basis, primarily utilizing BigQuery and Python.
Main Responsibilities:
- Industrialize outputs generated by Data Analysts, ensuring reports are clear and structured.
- Assess and prepare raw data for analytical processes, creating effective data models.
- Validate data tables and join datasets to enhance BI consumption.
- Collaborate closely with the team to understand reporting needs and deliver insights rapidly.
- Maintain attention to detail throughout the report-building process.
Key Requirements:
- Strong expertise in BigQuery and Python.
- Experience in structured data modelling and BI pipeline standardization.
- Excellent attention to detail and organizational skills.
- Strong analytical capabilities and understanding of data visualization principles.
- Ability to work in an agile environment and adapt quickly.
If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential.
emagine is an equal opportunity employer, and employment practices are based strictly on merit.
Data Modeler (h/f) employer: emagine
Contact Detail:
emagine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler (h/f)
✨Tip Number 1
Network like a pro! Reach out to people in the banking and data modelling sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with BigQuery and Python. This could be anything from personal projects to contributions to open-source. It’s a great way to demonstrate your expertise and stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data modelling questions. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are, the better you'll perform when it counts!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Modeler (h/f)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Modeler role. Highlight your experience with BigQuery and Python, and don’t forget to showcase your attention to detail and analytical skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data modelling and how your previous experiences align with our needs. Keep it concise but impactful – we love a good story!
Showcase Relevant Projects: If you've worked on any projects that involved structured data modelling or BI pipeline standardization, make sure to mention them. We’re keen to see real examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get the best experience possible. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at emagine
✨Know Your Data Tools
Make sure you brush up on your BigQuery and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Attention to Detail
Since attention to detail is crucial for a Data Modeler, prepare examples that highlight your meticulousness. Discuss specific instances where your attention to detail made a significant impact on a project or report.
✨Understand the Business Context
Familiarise yourself with the banking sector and the specific challenges it faces. This knowledge will help you demonstrate how your skills can contribute to delivering actionable insights and improving operational reporting.
✨Prepare for Collaboration Questions
As collaboration is key in this role, think about times when you've worked closely with a team. Be ready to share how you communicated effectively and adapted to different working styles to achieve common goals.
