Lead Analytics Engineer at Healf.com

Jack & Jill; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A health and wellness e-commerce platform in London is seeking a Lead Analytics Engineer to architect and oversee scalable data pipelines. You will champion best practices and mentor a growing team while partnering with executive stakeholders to enhance decision-making processes. The ideal candidate has extensive experience in data engineering, especially in high-growth e-commerce environments, with strong proficiency in Snowflake and dbt. This role offers autonomy in defining the data platform roadmap and shaping company culture towards data-driven outcomes.

Qualifications

• Significant experience in data engineering within e-commerce or D2C environments.
• Technical proficiency in SQL optimisation and Python for automation.
• Experience with cloud-native architectures like AWS S3 and Glue.

Responsibilities

• Design, review, and optimise ETL/ELT frameworks using Snowflake and dbt.
• Manage and coach a team of analytics engineers and conduct code reviews.
• Lead strategy and governance for the BI layer and build advanced dashboards.

Skills

Data Engineering

SQL Optimisation

Python for Automation

Cloud-native Architectures

Mentoring Engineering Talent

Tools

Snowflake

dbt

AWS S3

AWS Glue

Job description

Lead Analytics Engineer

Fast‑growing health and wellness e‑commerce platform. London, UK

Job Description

As a senior leader, you will architect and oversee scalable, high‑quality data pipelines to accelerate growth for a digital‑first wellbeing platform. You will champion best practices across a modern data stack, mentor a growing team of engineers, and partner with executive stakeholders to translate business objectives into robust data infrastructure that empowers data‑driven decision‑making.

Why this role is remarkable

• Autonomy to define and own the data platform roadmap, establishing standards for architecture and CI/CD at a scaling startup.
• Backed by top‑tier VCs known for scaling iconic consumer brands, providing a high‑growth environment with significant market traction.
• Influence company culture by embedding data‑driven decision‑making into the future of personalized health and curated wellness rituals.

What you will do

• Design, review, and optimise complex ETL/ELT frameworks using Snowflake and dbt to ensure platform performance and reliability.
• Manage and coach a team of analytics engineers, conducting code reviews and setting technical OKRs to foster continuous improvement.
• Lead the strategy and governance for the BI layer, driving adoption of self‑service analytics and building advanced dashboards for cross‑functional leaders.

The ideal candidate

• Significant experience in data engineering, specifically within high‑growth e‑commerce or D2C environments using Snowflake and dbt at scale.
• Technical proficiency in SQL optimisation and Python for automation, alongside experience with cloud‑native architectures like AWS S3 and Glue.
• Proven ability to manage senior stakeholders and mentor engineering talent while driving technical design reviews and data observability standards.