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Sundayy

Software Engineer (Java, Python)

England
Posted about 15 hours ago
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About The Company

The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising. With nearly 4,000 employees across more than 30 offices worldwide, we empower advertisers to reach their target audiences across the open internet, including streaming TV, podcasts, mobile apps, news platforms, and more. Our innovative technology helps create transparent, effective, and responsible advertising solutions that support trusted journalism, high-quality entertainment, and content creators globally. We are committed to solving complex technical challenges such as processing massive datasets in real-time and building reliable systems on a global scale, making an impact that extends worldwide. At The Trade Desk, we foster a culture of diversity, curiosity, and continuous learning, encouraging teams to learn from one another and develop innovative solutions to meaningful problems. We invite driven professionals who are passionate about making a difference to join our team and contribute to shaping the future of digital advertising technology.

About The Role

The Trade Desk is seeking a highly skilled Senior Data Platform Engineer to join our User Trail team. This team owns the analytics and observability platform that captures user interactions across our core web applications, including page views, clicks, and other engagement metrics. Your primary responsibility will be to help define and execute the technical strategy for unlocking and expanding access to our data, enabling various teams within the organization—such as support, trading, business, and product—to leverage this data effectively. You will work on solving complex, multi-layered problems that span multiple systems, ensuring our data infrastructure scales efficiently as more teams rely on our platform. Your expertise will influence decisions related to data collection, storage, self-service tools, and AI-powered solutions. Additionally, you will actively identify opportunities to improve our development processes, tooling, and quality practices, fostering a culture of continuous improvement. This role offers a unique opportunity to work on impactful projects that support decision-making across the company while collaborating with diverse teams to shape the future of data analytics at The Trade Desk.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Qualifications

  • 11+ years of software development or engineering experience
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • Deep expertise in backend services and data-intensive systems, such as event pipelines, data warehouses, or lakehouse platforms
  • Proven ability to solve complex, ambiguous technical problems end-to-end
  • Strong understanding of data architecture, scalability, and performance optimization
  • Experience with designing and implementing self-service data tools and dashboards
  • Excellent communication skills with the ability to articulate technical tradeoffs and ROI considerations
  • Demonstrated leadership in mentoring, technical guidance, and driving process improvements
  • Ability to learn new technologies quickly and adapt to evolving project requirements

Responsibilities

  • Define and lead the technical strategy for data access, collection, and usage across the organization
  • Solve complex problems that involve multiple systems and layers within the data platform
  • Anticipate scaling needs and proactively implement solutions to support growing data demands
  • Identify and implement process improvements, tooling enhancements, and best practices to elevate team productivity and quality
  • Collaborate with cross-functional teams—support, trading, business, and product—to shape data products and solutions
  • Develop expertise across various platform components and serve as a technical resource for other engineers
  • Influence decision-making by providing ROI-driven insights on capabilities and investments
  • Support the development of self-service tools, dashboards, and AI-powered assistants to democratize data access
  • Promote a culture of diversity, inclusion, and continuous learning within the team

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Benefits

  • Competitive salary and comprehensive health benefits
  • Flexible work arrangements and remote work options
  • Generous paid time off and holidays
  • Opportunities for professional growth and development
  • Collaborative and inclusive work environment
  • Access to cutting-edge technology and innovative projects
  • Wellness programs and employee assistance resources

Equal Opportunity

The Trade Desk is an equal opportunity employer. We are committed to creating an inclusive environment where all employees and applicants are treated with respect and fairness. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other protected status under applicable law. We welcome diverse perspectives and encourage all qualified individuals to apply. If you require accommodations during the recruitment process, please contact accommodations@thetradedesk.com to discuss your needs. All information shared will be handled confidentially and will not impact your application negatively.

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Skills

Java
Python
Backend Services
Data Architecture
Event Pipelines
Data Warehouses
Lakehouse Platforms
Scalability
Performance Optimization
Self-service Data Tools
Data Analytics
Technical Strategy
Mentoring
Observability Platforms
AI-powered Solutions
Software Development

Location

England, United Kingdom

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