Senior Data Platform Engineer - Self-Service Analytics

Senior Data Platform Engineer - Self-Service Analytics

Full-Time 65000 - 80000 Β£ / year (est.) No working from home possible
The Trade Desk

At a Glance

  • Tasks: Own the delivery of features for self-service analytics and data accessibility.
  • Company: Join The Trade Desk, a leader in data-driven marketing solutions.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
  • Other info: Be part of a supportive team that values mentorship and clarity.
  • Why this job: Make a real impact by empowering teams with reliable data tools.
  • Qualifications: Experience in software engineering and a passion for data analytics.

The predicted salary is between 65000 - 80000 Β£ per year.

The Trade Desk is seeking a software engineer to join our User Trail analytics and observability platform.

You will own end-to-end delivery of features that help non-engineering teams access, understand, and trust our data across the company.

You will work on backend services and data pipelines at scale, partnering with product and business stakeholders to translate questions into robust, self-serve tools.

We value clarity, reliability, and mentorship as the team grows.

#J-18808-Ljbffr

Senior Data Platform Engineer - Self-Service Analytics employer: The Trade Desk

The Trade Desk is an exceptional employer, offering a dynamic work culture in the heart of Greater London that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to lead impactful projects in AI-driven reporting and analytics. Join us to be part of a forward-thinking team that values your expertise and encourages meaningful contributions to shape the future of data-driven decision-making.

The Trade Desk

Contact Details:

The Trade Desk Recruitment Team

We think you need these skills to ace Senior Data Platform Engineer - Self-Service Analytics

Python
SQL
Problem-Solving Skills
Data Engineering
Data Pipeline Development
API Integration
Communication Skills