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- Tasks: Join a dynamic team to build innovative data models using spatial and geospatial data.
- Company: Be part of a leading digital business driving growth through cutting-edge data solutions.
- Benefits: Enjoy flexible work options, collaborative culture, and opportunities for professional growth.
- Why this job: Shape the future of location-based intelligence while working on impactful projects in a fast-paced environment.
- Qualifications: Strong background in data modelling, Python, SQL, and geospatial data required.
- Other info: Ideal for curious data professionals eager to make a difference in the digital landscape.
The predicted salary is between 36000 - 60000 £ per year.
About the Team: You’ll be joining a dynamic data innovation team focused on building data models using spatial and geospatial data. The team is at the forefront of driving growth through new, digital-first revenue streams in high-potential areas such as 5G, IoT, Data Analytics, and Artificial Intelligence. We develop cutting-edge solutions that transform mobile network data into actionable insights for the business and its customers.
Role Overview: As a Data Consultant, you will support the development of scalable, efficient, and production-ready data products and models. You'll work on an impactful initiative to infer user locations more accurately using Mobile Network Data (MND) and help create a proof of concept for a localized population density model.
Key Responsibilities:
- Enhance and refine methods to infer user locations from mobile network data.
- Create, test, and deliver a proof of concept for a new population density product.
- Build scalable, high-performance data-centric solutions using modern tools and techniques.
- Develop and maintain reliable data pipelines to support analytics and model deployment.
- Collaborate closely with data engineers, developers, and product managers in a fast-paced environment.
Top 5 Essential Skills:
- Strong background in data modelling for analytics and insights.
- Expertise in writing, deploying, and optimizing code in Python, SQL, or similar languages.
- Proven experience working with geospatial data and understanding of spatial modelling.
- Proficient with Git for version control and collaboration.
- Solid understanding of data-centric architecture and best practices.
Desirable Skills:
- Experience working within the Azure cloud environment.
- Familiarity with GIS tools and spatial analysis methods.
- Exposure to CI/CD pipelines for continuous development and deployment.
This is a unique opportunity to shape the future of location-based intelligence within a leading digital business. If you’re a curious and capable data professional with a passion for geospatial insights and scalable modelling—we want to hear from you.
Data Engineer / Consultant employer: Square One Resources
Contact Detail:
Square One Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer / Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in geospatial data and analytics. Understanding how these technologies are being applied in real-world scenarios can give you an edge during discussions with our team.
✨Tip Number 2
Brush up on your Python and SQL skills, especially focusing on data modelling and optimisation techniques. Being able to demonstrate your coding prowess in these languages will be crucial for the role.
✨Tip Number 3
Gain hands-on experience with Git and version control systems. Being comfortable with collaboration tools will help you integrate smoothly into our fast-paced environment.
✨Tip Number 4
If you have experience with Azure or GIS tools, make sure to highlight that in conversations. Showing familiarity with these platforms can set you apart from other candidates.
We think you need these skills to ace Data Engineer / Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data modelling, Python, SQL, and geospatial data. Use specific examples that demonstrate your skills in these areas to catch the attention of the hiring team.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data innovation and how your background aligns with the role. Mention your experience with building scalable data solutions and any relevant projects you've worked on, especially those involving geospatial data.
Showcase Relevant Projects: If you have worked on projects related to mobile network data or population density models, be sure to include them in your application. Describe your role, the tools you used, and the impact of your work to demonstrate your capabilities.
Highlight Collaboration Skills: Since the role involves working closely with data engineers, developers, and product managers, emphasise your teamwork and collaboration skills. Provide examples of how you've successfully worked in fast-paced environments to achieve project goals.
How to prepare for a job interview at Square One Resources
✨Showcase Your Data Modelling Skills
Be prepared to discuss your experience with data modelling in detail. Highlight specific projects where you've successfully created models for analytics and insights, especially if they involved geospatial data.
✨Demonstrate Your Coding Proficiency
Since expertise in Python and SQL is crucial, be ready to talk about your coding experience. You might even be asked to solve a coding problem on the spot, so brush up on your skills and be familiar with best practices.
✨Familiarise Yourself with Geospatial Concepts
Given the focus on geospatial data, ensure you understand key concepts and tools related to spatial modelling. Be ready to discuss how you've applied these in previous roles or projects.
✨Prepare for Collaborative Scenarios
Collaboration is key in this role, so think of examples where you've worked closely with engineers, developers, or product managers. Be ready to explain how you contributed to team success and handled challenges in a fast-paced environment.
