Senior Data Engineer

Datatech Analytics; City Of London; Hybrid; GBP 68,000 - 80,000; Full time

Job summary

A leading AI-first SaaS company in London is seeking a Senior Data Engineer to build and optimise robust data pipelines across various cloud platforms. The ideal candidate should have strong SQL and exceptional Python skills, with a minimum of 3 years in data engineering or cloud platform development. This role offers a hybrid working model and opportunities for career development in a high-impact engineering environment.

Qualifications

• 3+ years in data engineering or cloud platform development.
• Strong SQL but exceptional Python with a real software engineering mindset.
• Experience deploying and maintaining production ML models.

Responsibilities

• Build and optimise robust ETL/ELT pipelines across various cloud platforms.
• Lead CI/CD automation, environment management and reliable deployments.
• Support production‑grade ML pipelines that power real decisions.

Skills

Strong SQL

Exceptional Python

Data engineering mindset

Experience with cloud platforms

Tools

Azure

AWS

GCP

Snowflake

Databricks

Job description

Senior Data Engineer | AI-First SaaS Scale Up

London | Hybrid (Mon Wed in office) • £up to £80,000 DOE • Ref: J13026

We're partnering with a fast-growing AI-first SaaS company building a modern data and AI platform used by global clients. As they scale, they're looking for a Senior Data Engineer who thinks in systems, not projects.

Someone who understands what it takes to run data and ML pipelines in production, at scale, day after day. SQL is the Latin of data: Essential, universal, the foundation. But Python is your superpower: The place where you design algorithms, engineer clean solutions, automate intelligently, and write code that doesn't just work today… it works next month, next quarter, and under load.

This role is for someone who builds with reliability, repeatability, and production readiness at the forefront, not someone who sees delivery as done when the notebook runs once.

The Opportunity

• Build and optimise robust ETL/ELT pipelines across Azure, AWS, GCP, Snowflake or Databricks
• Lead CI/CD automation, environment management and reliable deployments
• Support production‑grade ML pipelines that power real decisions
• Create monitoring, alerting and data‑quality controls for high‑trust systems
• Influence engineering culture with clean, scalable, maintainable code

All About You

• 3+ years in data engineering or cloud platform development
• Strong SQL but exceptional Python, with a real software engineering mindset
• An instinct for scaling systems, not just completing projects
• Experience deploying and maintaining production ML models
• Understanding of orchestration, workflow tools and modern data architectures
• A proactive, improvement driven approach to platform engineering

The Why?

• Shape a next‑generation AI and data platform
• Work in a high‑ownership, high impact engineering environment
• Help create a culture where production quality and pythonic excellence matter

However you see your career developing, whether you want to move into leadership, drive architectural direction, or stay hands‑on and push the limits of modern data and AI engineering, this company will support and champion you. They're committed to helping talented engineers grow in the direction that excites them most.

Still thinking about it… then this is not the role for you. Excited? Apply now!

No Sponsorship unfortunately.

Referral

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk