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 mentorship.
- Other info: Be part of a growing team that values clarity and collaboration.
- Why this job: Make a real impact by empowering teams to trust and utilise data effectively.
- Qualifications: Experience in software engineering and a passion for data analytics.
The predicted salary is between 65000 - 80000 £ 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 in London 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.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer - Self-Service Analytics in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The Trade Desk!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Platform Engineer - Self-Service Analytics at The Trade Desk.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The Trade Desk.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Platform Engineer - Self-Service Analytics at The Trade Desk, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Platform Engineer - Self-Service Analytics in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at The Trade Desk, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The Trade Desk. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at The Trade Desk
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The Trade Desk!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
