Lead Analytics Engineer (Contract)

Harnham is partnering with a growing team focused on stabilising and maturing their Snowflake data platform. They are seeking a skilled Analytics Engineer to join a hands-on, delivery-focused team responsible for building and maintaining centralised data warehouse assets used across the business.

The team is part of a broader Analytics Engineering function, aligned to business pillars but operating centrally to provide high-quality, reusable data assets. You'll work closely with other Analytics Engineers and domain teams to ensure data models are performant, scalable, and widely adopted.

• Hands-on development using SQL, DBT, and Snowflake

• Implementing, refactoring, and optimising Snowflake data models

• Creating and maintaining data assets, ensuring performance, quality, and reliability

• Updating consumers and reviewing code to maintain standards

• Working within structured project tracking tools (Asana / Jira)

• Delivering approximately 50 refactorings/migrations and creating at least 5 new assets during the contract

• Strong experience in SQL, DBT, and Snowflake

• Familiarity with dimensional modelling (Kimball methodology preferred)

• Understanding of building models for large stakeholder groups

• Experience with performance optimisation, data quality, and query/resource efficiency

• Comfortable working in a collaborative, fast-moving environment with a growth mindset

• Experience with startups or SaaS companies is a plus

• Work on a centralised data platform with high visibility and impact

• Remote, contractor-friendly environment outside IR35

• Opportunity to work on large-scale data models, refactorings, and new asset creation

• Collaborate with a supportive and experienced Analytics Engineering team

• Case study (essential - candidates complete a provided template)

• Technical / market conversation focusing on:

  • Dimensional modelling experience

  • Snowflake model design for multiple stakeholders

  • Performance optimisation and data quality

  • Refactoring and migrations

Availability: Interviews scheduled across Thursday 26th