Lead Data Engineer - London

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

Lead Data Engineer - London

London Hybrid - Monday to Thursday in the office. Friday work from home

Salary 85,000- 95,000 dependent on experience

Ref J13147

Build the function. Lead the team. Stay hands on.

Join a fast-growing AI SaaS business where Data Engineering sits at the heart of the platform. This is an opportunity to join at a pivotal stage of the company's growth. As Lead Data Engineer, you'll shape and scale the Data Engineering function, define engineering standards and build a high-performing team, while remaining hands on with the technology that powers innovative AI products. As the business continues to grow, the vision is for this role to evolve into the leadership position responsible for the wider Data Engineering function, making it an excellent opportunity for someone who enjoys leading from the front and wants to grow their career without stepping away from technology.

What you'll be doing

• 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

What you'll bring

• 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

Why join?

• Build and shape a Data Engineering function from the ground up, with the opportunity to grow into the future Head of Data Engineering as the team expands.
• Stay technically hands on while leading a high performing team
• Work on innovative AI and data products solving real business challenges
• Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouraged

If you're looking for a role where you can influence technical direction, build great engineering practices and remain close to the technology, we want to hear from you.