At a Glance
- Tasks: Develop Python APIs, build ETL pipelines, and integrate 3rd-party APIs.
- Company: Join a leading Ad-Tech firm revolutionising digital advertising with data-driven solutions.
- Benefits: Enjoy a competitive salary, flexible remote work, private health insurance, and generous holiday.
- Why this job: Shape global platforms in a high-autonomy team while advancing your career in tech.
- Qualifications: Strong Python skills, SQL/NoSQL knowledge, and experience with cloud infrastructure required.
- Other info: Collaborate with top engineers and enjoy clear pathways for career progression.
The predicted salary is between 60000 - 75000 £ per year.
Looking to make your mark in the Ad-Tech space? Our client, a trailblazer in data-driven digital advertising, is scaling fast and investing heavily in its engineering team. With performance-led products that leverage ML at scale, this is a rare chance to shape platforms used globally, without the red tape of a big corp. You’ll join at a defining moment, helping take new products from vision to reality while advancing your own career in a high-autonomy, low-ego team.
The Backend Python Engineer will contribute to the backbone of the company’s platform, building services that scale, pipelines that hum, and integrations that enable cutting-edge analytics to land with precision.
Role Highlights- Develop robust Python APIs and microservices powering user-facing and internal tools
- Engineer high-volume ETL pipelines for transforming vast, complex data sets
- Integrate 3rd-party APIs to enrich and automate key workflows
- Collaborate across functions, including DevOps and ML, to deploy resilient, efficient systems
- Champion quality with automated tests, performance optimisations and code reviews
- Strong Python experience building backend systems and data workflows
- Working knowledge of SQL and NoSQL, especially Postgres
- Familiarity with cloud infrastructure (AWS preferred) and modern deployment patterns
- Experience with RESTful API design and integration
- Experience building pipelines for large-scale data sets
- A collaborative mindset and drive to solve real-world problems at scale
- £65,000–£75,000 salary + performance bonus + equity
- Flexible remote-first model (or hybrid if you prefer)
- Private health, dental and vision insurance
- 25+ days holiday + enhanced parental leave
- Career pathways to lead, architect or specialise—your growth, your pace
- A truly inclusive workplace where your ideas shape the roadmap
- Budget for learning, development and tech tools
- Clear 3–6–12 month milestones for success and progression
- Regular performance reviews and mentoring opportunities
- Work alongside top engineers and data scientists in a focused, fast-paced environment
Python Developer (,, United Kingdom) employer: Placed
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer (,, United Kingdom)
✨Tip Number 1
Familiarise yourself with the latest trends in Ad-Tech and machine learning. Understanding how these technologies are applied in real-world scenarios will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the Python developer community online. Join forums, attend meetups, or participate in hackathons. Networking with other professionals can lead to valuable insights and potentially even referrals for the position.
✨Tip Number 3
Brush up on your knowledge of cloud infrastructure, particularly AWS. Since the role requires familiarity with modern deployment patterns, being able to discuss your experience or projects involving cloud services will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with RESTful API design and integration. Be ready to share specific examples of projects where you've built or worked with APIs, as this is a key aspect of the role that the hiring team will be keen to explore.
We think you need these skills to ace Python Developer (,, United Kingdom)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any relevant projects you've worked on, especially those involving backend systems, data workflows, and API integrations. Use keywords from the job description to catch the employer's attention.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the Ad-Tech space and how your skills align with the company's goals. Mention specific experiences that demonstrate your ability to develop robust APIs and work with large-scale data sets.
Showcase Your Technical Skills: If applicable, include links to your GitHub or portfolio showcasing projects that involve Python, SQL, and cloud infrastructure. This will provide tangible evidence of your capabilities and help you stand out.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Placed
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've built backend systems or data workflows, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Understanding of APIs
Since the role involves developing robust Python APIs, make sure you can talk about RESTful API design and integration. Bring examples of how you've implemented APIs in past projects and the impact they had on the overall system.
✨Familiarise Yourself with Cloud Infrastructure
As the company prefers AWS, brush up on your knowledge of cloud infrastructure and modern deployment patterns. Be ready to discuss any relevant experience you have with cloud services and how you've used them to enhance system performance.
✨Emphasise Collaboration and Problem-Solving
This role requires a collaborative mindset. Prepare to share examples of how you've worked with cross-functional teams, such as DevOps and ML, to solve real-world problems. Highlight your ability to communicate effectively and contribute to team success.