Lead Data Engineer: AI Pipelines & Team Builder

VIQU IT; City Of London; On-site; GBP 110,000 - 150,000; Full time

Benefits offered by this job

Learning budget

Fast-track growth

Job summary

VIQU IT is seeking a Lead Data Engineer to be based in London. You will define processes, tooling, and standards for the Data Engineering function while personally delivering the most complex pipeline work.

You will mentor data engineers, own the data infrastructure, and collaborate across Product, Data Science, Client Success and Platform R&D. You will also lead AI tooling adoption within the engineering workflow.

Qualifications

• First-class STEM degree from a prestigious university.
• 5+ years in Data Engineering/Platform roles.
• 2+ years in a lead or senior capacity.
• Proven line management experience — not just technical leadership.
• Experience with cloud data infrastructure, CI/CD automation, and metadata frameworks.

Responsibilities

• Own the Data Engineering function: standards, tooling, and delivery processes.
• Manage, mentor, and develop a team of data engineers including performance and development plans.
• Lead recruitment and be the engineering voice in cross-functional planning.
• Hands-on ownership of the most complex implementation work.
• Drive AI tooling adoption across engineering: code generation, data profiling, documentation, and testing.

Skills

Data engineering

Team leadership

SQL pipelines

Python orchestration

Cloud data infra

CI/CD automation

Metadata frameworks

Stakeholder collaboration

Education

Bachelor's degree in STEM

First-class STEM degree

Tools

Git

GitHub Actions

Azure DevOps

PostgreSQL

T-SQL

Python

Job description

VIQU IT is seeking a Lead Data Engineer to be based in London. You will define processes, tooling, and standards for the Data Engineering function while personally delivering the most complex pipeline work.

You will mentor data engineers, own the data infrastructure, and collaborate across Product, Data Science, Client Success and Platform R&D. You will also lead AI tooling adoption within the engineering workflow.