Lead Data Engineer - London

Datatech Analytics; City Of London; Hybrid; GBP 85,000 - 95,000; Full time

Job summary

Datatech Analytics is seeking a Lead Data Engineer in London to lead the data engineering function and stay hands-on with technology. The role involves shaping standards, building scalable pipelines and guiding the team through a pivotal growth phase.

You will work on modern data platforms and collaborate with AI engineers to productionise ML solutions, while staying technically hands-on and growing the department.

Qualifications

• Proven experience leading data engineering teams.
• Experience designing scalable data pipelines and cloud platforms.
• Hands-on Python/SQL with data warehousing experience.

Responsibilities

• Lead, mentor and grow a team of Data Engineers.
• Design and build scalable data pipelines and cloud-based data platforms.
• Develop robust ETL and ELT solutions using Python and SQL.
• Define engineering standards, data models and best practice.

Skills

Python

SQL

Cloud platforms (Azure/AWS/GCP)

ETL/ELT engineering

Data modelling & warehousing

CI/CD & Git

Leadership/mentoring

Tools

Git

CI/CD pipelines

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