Data Engineer

Mid/Senior Data Engineer | Series C Scale-up | $50m raise in 2025(Python,, GCP) | Permanent | London (1 day a week on-site)

My client are a fast-scaling SaaS scale-up (Series C, $50m raised in 2025) that is redefining how global powerhouses operate.

Their AI-enabled platform supports over 1,000+ brands worldwide, streamlining business processes like never seen before. With 10 revenue growth in the past year and aggressive expansion across the UK, US, and EU, the company is scaling at pace.

Data is the backbone: from APIs and pipelines to governance and observability, their data platform directly powers customer-facing products and AI-driven insights.

Theyre now hiring a Senior Data Engineer to own and shape this platform, building scalable, production-grade systems that become the foundation for global brands.

Why join?

Greenfield impact inherit a live but early platform, define best practice across structure, testing, observability, and governance.

Direct product impact your APIs, pipelines, and orchestration power the platform that 1,000+ brands rely on every day.

AI at the core work on infrastructure that enables machine learning and intelligent decision-making across commerce.

$50m investment fueled expansion and innovation, backed by world-class investors.

Career trajectory Clear scope to grow into leadership as the data team scales.

Remote-first culture flexibility to work from anywhere

What youll be doing:

• API strategy & development own and scale FastAPI endpoints that deliver real-time access to platform data.
• Data pipeline development build ingestion and replication pipelines with best-in-class observability, latency, and resilience.
• Platform technical vision influence architecture and orchestration, shaping how the business handles data at scale.
• Data quality & governance embed testing, freshness, lineage, and monitoring to ensure reliability and trustworthiness.
• Collaboration partner with engineers, product managers, and commercial teams to deliver production-grade solutions.

Tech stack and requirements:

• Python must-have, with production-grade engineering expertise
• FastAPI Nice to have
• Google Cloud Platform (GCP) must-have, ie BigQuery, Cloud Run, and Cloud Storage
• dbt strong advantage, with scope to shape best practice
• Airflow / Composer highly desirable for orchestration
• CI/CD GitHub Actions (or similar)

Salary: 75,000 - 85,000 + Equity, PMI, Strong pension, clear progression routes

Location: Central London (1 day a week onsite)

Sound interesting? Please apply to hear more!