Founding Data Scientist: Build the Core Data Platform in London

Founding Data Scientist: Build the Core Data Platform in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Dex

At a Glance

  • Tasks: Own and manage foundational data models and pipelines for seamless data flow.
  • Company: Dex, a forward-thinking company in Greater London focused on data innovation.
  • Benefits: Significant equity, healthcare benefits, and an above-market salary.
  • Other info: Access to tools and resources for your career growth.
  • Why this job: Join a world-class team and make a real impact on data-driven decisions.
  • Qualifications: Experience in data engineering and a passion for data insights.

The predicted salary is between 60000 - 80000 Β£ per year.

Dex, in Greater London, is looking for a dedicated Data Engineer to own and manage the foundational data models and pipelines crucial for our operations. You will play a key role in ensuring that data flows correctly and efficiently while supporting internal teams to self-serve on data insights.

This role offers significant equity, healthcare benefits, and an above-market salary. We are committed to building a world-class team and supporting your career journey with tools and resources you need to succeed.

Founding Data Scientist: Build the Core Data Platform in London employer: Dex

At Dex, we pride ourselves on being an exceptional employer in Greater London, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through our comprehensive support and resources, alongside competitive benefits such as significant equity and healthcare. Join us to be part of a world-class team where your contributions directly impact our success and your career development is a priority.

Dex

Contact Details:

Dex Recruitment Team

We think you need these skills to ace Founding Data Scientist: Build the Core Data Platform in London

Python
SQL
Communication Skills
Problem-Solving Skills
Data Engineering
Automation
Data Pipeline Development