Senior Data Engineer

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Base pay range

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

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