London Hybrid Lead Data Engineer - Hands-on AI Pipelines

Datatech; Greater London; Hybrid; GBP 85,000 - 95,000; Full time

Job summary

Datatech in London is seeking a Lead Data Engineer to shape and scale the Data Engineering function. You will lead a growing team, stay hands on with the technology powering our AI SaaS platform, define engineering standards, and build data pipelines that are robust, scalable and secure.

This London hybrid role offers in-office days Monday to Thursday with Friday work from home, a competitive salary in the 85k–95k range, and a clear path to broader leadership as the data platform matures.

Qualifications

• Strong experience with Python and SQL.
• Expertise building modern data platforms on Azure, AWS or GCP.
• Strong ETL and ELT engineering experience.
• Data modelling and data warehousing expertise.
• CI/CD, Git and engineering best practice.
• Previous experience leading, mentoring or developing engineers.

Responsibilities

• Leading, mentoring and growing a team of Data Engineers.
• Designing and building scalable data pipelines and cloud based data platforms.
• Developing robust ETL and ELT solutions using Python and SQL.
• Defining engineering standards, data models and best practice.
• Driving CI/CD, automation and modern engineering practices.
• Collaborating with AI engineers to productionise machine learning and AI solutions.
• Exploring how AI can enhance engineering productivity, quality and delivery.

Skills

Python

SQL

Data pipelines

Cloud platforms

ETL/ELT

Mentoring

Tools

Azure

AWS

GCP

Job description

Datatech in London is seeking a Lead Data Engineer to shape and scale the Data Engineering function. You will lead a growing team, stay hands on with the technology powering our AI SaaS platform, define engineering standards, and build data pipelines that are robust, scalable and secure.

This London hybrid role offers in-office days Monday to Thursday with Friday work from home, a competitive salary in the 85k–95k range, and a clear path to broader leadership as the data platform matures.