Python Developer - #1776335

Python Engineer - London | Hybrid - £60,000 - £75,000Looking 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 HighlightsThe 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 reviewsYou

Will NeedThe 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 scaleWhy 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