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