Senior Data Engineer
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Role details
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Job description
- 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.
Requirements
- Python - must-have, with production-grade engineering expertise.
- FastAPI - must-have, proven experience building APIs in production.
- Google Cloud Platform (GCP) - must-have, e.g., 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).
About the company
| Senior Data Engineer (Python, FastAPI, GCP) | ? Series C Scale-up | $100m raise in 2025 | Permanent | London (1 day a week on-site) | £100,000 - £105,000 + Equity |
My client are a fast-scaling SaaS scale-up (Series C, $100m raised in 2025) that is redefining how global powerhouses operate.
Their ML/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.
They’re now hiring a Senior Data Engineer to own and shape this platform, building scalable, production-grade systems that become the foundation for global brands.
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.
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