Senior Data Engineer

Identify Solutions; England; Hybrid; GBP 100,000 - 105,000; Full time

Job summary

A fast-scaling SaaS company in London is seeking a Senior Data Engineer to develop and scale their ML/AI-enabled platform. You'll own the API strategy, create resilient data pipelines, and influence the technical vision of the data platform. With strong experience in Python, FastAPI, and Google Cloud Platform, you'll have a direct impact on the business and enjoy a remote-first culture with opportunities for career growth.

Qualifications

• Must have production-grade engineering experience in Python.
• Experience building APIs in production using FastAPI.
• Familiarity with Google Cloud services like BigQuery.

Responsibilities

• Own and scale FastAPI endpoints for real-time data access.
• Develop ingestion and replication pipelines with strong observability.
• Influence architecture and orchestration for data handling.

Skills

Python

FastAPI

Google Cloud Platform

dbt

Airflow

CI/CD

Job description

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Base pay range

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