Python Developer (, , United Kingdom)

Python Engineer – London | Hybrid – £60,000 – £75,000

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

The Backend Python Engineer will…

– 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

You Will Need

The Backend Python Engineer will bring…

– 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

Why You’ll Love It

– £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