Lead Data Engineer

Clearly Jobs Ltd.; Greater London; Hybrid; GBP 81,000 - 99,000; Full time

Job summary

Clearly Jobs Ltd. in London is seeking a Data Engineering Lead to own and scale the data platform, from architecture to governance, reporting and future team growth.

This hybrid role offers up to £90,000 base salary with a 20% bonus and the chance to build the data function at a fast-growing consumer brand.

Qualifications

• Strong Python and SQL skills.
• Experience building production-grade data pipelines.
• Strong BigQuery experience.
• Experience with dbt or similar transformation tooling.
• Experience working with cloud data platforms.
• Excellent stakeholder management skills.
• The ability to operate autonomously and thrive in a fast-paced environment.
• Previous experience in Data Engineering, Analytics Engineering or Data Leadership roles.

Responsibilities

• Designing and scaling the company's data platform.
• Bringing together data from multiple sources to create a single source of truth for reporting and decision-making.
• Collaborate with senior stakeholders to shape long-term data strategy.
• Building and maintaining scalable ETL/ELT pipelines.
• Owning data quality, governance, security and access controls.
• Delivering trusted reporting and analytics capabilities.
• Managing external data and analytics partners.
• Enabling self-service analytics across the business.
• Driving adoption of AI-enabled analytics and decision-making tools.

Skills

Python

SQL

Data pipelines

Cloud data platforms

Stakeholder management

Autonomous / self-starter

Data leadership

Tools

dbt

Job description

Data Engineering Lead

London (Hybrid)

Up to £90,000 + 20% Bonus

We're partnering with a rapidly growing consumer brand that's investing heavily in data and looking for its first Data Engineering Lead to build the foundations of a modern, data-driven organisation.

This is a rare opportunity to join a business at a pivotal stage of growth and take ownership of the entire data landscape, from platform architecture and data pipelines through to governance, reporting and future team expansion.

The Role

You'll be responsible for designing and scaling the company's data platform, bringing together data from multiple sources and creating a single source of truth for reporting and decision-making. You'll work closely with senior stakeholders across the business and play a key role in shaping the long-term data strategy.

Key responsibilities include:

• Building and maintaining scalable ETL/ELT pipelines
• Developing and optimising a cloud-based data platform within BigQuery
• Owning data quality, governance, security and access controls
• Delivering trusted reporting and analytics capabilities
• Managing external data and analytics partners
• Enabling self-service analytics across the business
• Driving adoption of AI-enabled analytics and decision-making tools
• Helping build and lead the data function as the company grows

Requirements

We're looking for engineers who enjoy combining deep technical expertise with commercial impact.

You'll ideally have:

• Strong Python and SQL skills
• Experience building production-grade data pipelines
• Strong BigQuery experience
• Experience with dbt or similar transformation tooling
• Experience working with cloud data platforms
• Excellent stakeholder management skills
• The ability to operate autonomously and thrive in a fast-paced environment
• Previous experience in Data Engineering, Analytics Engineering or Data Leadership roles

Nice to Have

• E-commerce, retail or DTC experience
• Experience with Shopify, Amazon or marketing platforms
• Exposure to attribution, tracking or customer analytics
• Experience implementing data governance frameworks
• Exposure to AI, LLMs or modern analytics tooling
• Previous team leadership experience

Why Join?

• Up to £90,000 base salary
• 20% bonus
• Opportunity to become the company's first dedicated data leader
• Significant ownership and autonomy
• Direct exposure to senior leadership
• Clear pathway to build and lead a team
• Chance to shape the future of a high-growth business from the ground u