AI-First Data & Analytics Engineering Manager

DEPOP; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Health + Mental Wellbeing

Sabbatical program

Hybrid/Remote options

Learning budget

Life Insurance

Job summary

Depop is seeking a customer-focused, AI-forward Engineering Manager - Data & Analytics Engineering to lead the team building trusted analytical data foundations. You will shape data and analytics engineering at Depop, creating reusable data assets and scalable pipelines powering analytics, ML, and AI-driven decisions.

You will mentor Data and Analytics Engineers, establish strong engineering practices, and champion AI-first workflows that improve productivity.

Qualifications

• Proven experience leading data/analytics engineering teams.
• Strong coaching and feedback skills with focus on growth.
• AI-forward approach to development, automation, and workflows.
• Experience turning technical strategy into actionable plans.
• Expertise in modern data architectures (lakehouses, data warehousing).
• Hands-on with data tools like dbt, Databricks, Spark, SQL, Python.

Responsibilities

• Lead and develop a team of Data and Analytics Engineers with ownership culture.
• Coach for high performance and meaningful career development.
• Drive engineering execution with clear prioritisation and delivery.
• Champion AI-first engineering culture and automated workflows.
• Define a technical roadmap balancing business priorities with scalability.

Skills

Data engineering leadership

Team coaching

AI mindset

Stakeholder management

Project planning

Communication

Tools

dbt

Databricks

Spark

SQL

Python

Job description

Depop is seeking a customer-focused, AI-forward Engineering Manager - Data & Analytics Engineering to lead the team building trusted analytical data foundations. You will shape data and analytics engineering at Depop, creating reusable data assets and scalable pipelines powering analytics, ML, and AI-driven decisions.

You will mentor Data and Analytics Engineers, establish strong engineering practices, and champion AI-first workflows that improve productivity.