Senior Data Modeller - GCP Data Products

Senior Data Modeller - GCP Data Products

London Freelance 54000 - 90000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data modelling for cloud migration and create scalable data products.
  • Company: Join a top global consultancy driving digital transformation.
  • Benefits: Flexible work schedule with potential for remote days and competitive pay.
  • Why this job: Be part of innovative projects that shape the future of data in the cloud.
  • Qualifications: Experience with data modelling tools, GCP technologies, and strong SQL skills required.
  • Other info: Contract role with potential for extension; start ASAP.

The predicted salary is between 54000 - 90000 £ per year.

A leading global consultancy is looking for a Senior Data Modeller / Business Architect to support the transformation and migration of legacy on-premise applications and data assets to the Google Cloud Platform (GCP). This is an opportunity to contribute to the creation of data products that align with enterprise standards and business needs.

Responsibilities:

  • Lead the data modelling components of solution design to ensure alignment with business requirements
  • Develop conceptual data models consistent with enterprise-wide data frameworks
  • Build logical and physical data models, ensuring scalability and performance
  • Define mappings between various layers of data abstraction
  • Facilitate data model approval through internal governance processes
  • Assist with metadata management and register data products within a data catalog (e.g., Collibra)
  • Apply best practices in enterprise data modelling, including use of star schemas and de-normalised structures

Required Skills & Experience:

  • Strong experience using data modelling tools
  • Hands-on experience with Google Cloud technologies such as BigQuery, GCS, and Kafka
  • Advanced SQL skills and experience with ETL tools (e.g., SSIS), scripting in Python and Unix Shell
  • Familiarity with Agile methodologies
  • Strong communication skills and the ability to work effectively in client-facing roles and collaborative team environments

Senior Data Modeller - GCP Data Products employer: Cognitive Group | Part of the Focus Cloud Group

As a leading global consultancy, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. Our London office offers a vibrant environment where employees can thrive, with opportunities for professional growth through hands-on experience with cutting-edge technologies like Google Cloud Platform. Join us to be part of a team that not only supports your career development but also encourages meaningful contributions to transformative data projects.
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Contact Detail:

Cognitive Group | Part of the Focus Cloud Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Modeller - GCP Data Products

✨Tip Number 1

Network with professionals in the data modelling and GCP space. Attend industry meetups or webinars to connect with others who may have insights into the role or the company. This can help you get a foot in the door and learn more about what they value in candidates.

✨Tip Number 2

Familiarise yourself with Google Cloud technologies, especially BigQuery and GCS. Consider taking online courses or certifications that focus on these tools to demonstrate your commitment and expertise in the required technologies.

✨Tip Number 3

Prepare to discuss your experience with data modelling tools and methodologies during interviews. Be ready to provide examples of how you've successfully implemented data models in previous roles, particularly in relation to enterprise standards.

✨Tip Number 4

Showcase your communication skills by preparing to explain complex data concepts in simple terms. Since this role involves client-facing responsibilities, being able to articulate your ideas clearly will set you apart from other candidates.

We think you need these skills to ace Senior Data Modeller - GCP Data Products

Data Modelling Tools
Google Cloud Platform (GCP)
BigQuery
Google Cloud Storage (GCS)
Kafka
Advanced SQL
ETL Tools (e.g., SSIS)
Python Scripting
Unix Shell Scripting
Agile Methodologies
Conceptual Data Models
Logical and Physical Data Models
Data Abstraction Mapping
Metadata Management
Collibra
Star Schemas
De-normalised Structures
Client-Facing Communication
Collaborative Teamwork

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with data modelling tools and Google Cloud technologies. Emphasise your hands-on experience with BigQuery, GCS, and Kafka, as well as your advanced SQL skills.

Craft a Compelling Cover Letter: In your cover letter, explain how your background aligns with the responsibilities of the Senior Data Modeller role. Mention specific projects where you've led data modelling components or worked with enterprise data frameworks.

Showcase Relevant Projects: Include examples of past projects in your application that demonstrate your ability to develop conceptual and logical data models. Highlight any experience you have with metadata management and data catalogues like Collibra.

Highlight Soft Skills: Since strong communication skills are essential for this role, make sure to mention any client-facing experiences or collaborative team environments you've worked in. This will show that you can effectively engage with stakeholders.

How to prepare for a job interview at Cognitive Group | Part of the Focus Cloud Group

✨Showcase Your Technical Skills

Be prepared to discuss your experience with data modelling tools and Google Cloud technologies. Highlight specific projects where you've used BigQuery, GCS, or Kafka, and be ready to demonstrate your advanced SQL skills.

✨Understand the Business Context

Research the consultancy's approach to data transformation and migration. Be ready to explain how your work aligns with business needs and enterprise standards, particularly in relation to creating scalable data products.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you led data modelling components or facilitated data model approvals, and be ready to discuss the outcomes.

✨Demonstrate Your Communication Skills

Since the role involves client-facing responsibilities, practice articulating complex technical concepts in a clear and concise manner. Show that you can effectively collaborate within a team and communicate with stakeholders.

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