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Senior Data Engineer

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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.

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

Remote‑first culture – flexibility to work from anywhere.

What you’ll 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 – 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).

Location: Central London (1 day a week on‑site)

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

Information Services

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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