Data Modeler in London

Data Modeler in London

London Full-Time 39600 - 46800 Β£ / year (est.) Home office (partial)
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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 decisions.
  • 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 - 46800 Β£ 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 modeling 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.

Data Modeler in London employer: Emagine Consulting

At emagine, we pride ourselves on being an exceptional employer within the banking sector, offering a dynamic and inclusive work culture that fosters professional growth and collaboration. Our London-based team thrives in a hybrid environment, where innovative thinking is encouraged, and employees are supported through tailored development opportunities, ensuring they can reach their full potential while delivering impactful solutions to our clients.
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Contact Detail:

Emagine Consulting Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Modeler in London

✨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 a game-changer during interviews, as it gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for those interviews! Research common questions for Data Modelers and practice your answers. We recommend focusing on your analytical skills and attention to detail, as these are key in this role.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who are eager to join our team.

We think you need these skills to ace Data Modeler in London

BigQuery
Python
Data Modeling
Business Intelligence (BI) Pipeline Standardization
Data Validation
Data Analysis
Data Visualization Principles
Attention to Detail
Organizational Skills
Agile Methodologies
Collaboration Skills
Analytical Capabilities

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 skills align with our needs. Keep it concise but impactful – we love a good story that connects your experience to our mission.

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 don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Emagine Consulting

✨Know Your Tools Inside Out

Make sure you brush up on your BigQuery and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.

✨Showcase Your Attention to Detail

Since this role requires a keen eye for detail, prepare examples that highlight your organisational skills and meticulousness. Think of times when 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 will help you demonstrate how your data modelling skills can provide actionable insights that align with the company's goals.

✨Be Ready to Collaborate

Collaboration is key in this role, so be prepared to discuss how you've worked effectively in teams. Share examples of how you’ve communicated with colleagues to understand reporting needs and deliver results quickly.

Data Modeler in London
Emagine Consulting
Location: London
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