Data Engineer

Identify Solutions; City Of London; Hybrid; GBP 80,000 - 85,000; Full time

Job summary

A leading SaaS scale-up in London seeks a Senior Data Engineer to shape their data platform. You'll own API strategies, build data pipelines, and ensure data quality for 1,000+ global brands. This role offers £80,000 - £85,000 salary plus equity and strong progression opportunities in a remote-first culture. Join to influence architecture and deliver impactful solutions using cutting-edge technology!

Benefits

Equity

Private Medical Insurance

Strong pension

Clear progression routes

Qualifications

• Must have production-grade engineering expertise in Python.
• Experience with APIs and data pipelines is essential.
• GCP knowledge including BigQuery and Cloud Storage is required.

Responsibilities

• Own API strategy and develop FastAPI endpoints.
• Build ingestion and replication pipelines with high observability.
• Shape architecture on data handling at scale.
• Embed testing and monitoring for data quality.

Skills

Python

API strategy & development

Data pipeline development

Collaboration

Tools

Google Cloud Platform (GCP)

FastAPI

dbt

Airflow / Composer

CI / CD

Job description

Data Engineer (Python, GCP) | 🚀 Series C Scale-up | $100m raise in 2025 | Permanent | London (1 day a week on-site) - £80,000 - £85,000 + Equity

My client are a fast-scaling SaaS scale-up (Series C, $100m raised in 2025) that is redefining how global powerhouses operate.

Their 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.

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 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 – 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: £80,000 - £85,000 + Equity, PMI, Strong pension, clear progression routes

Location: Central London (1 day a week onsite)

Sound interesting? Please apply to hear more!