Lead Analytics Engineer (Contract)
Posted 1 day ago by Harnham
£550 Per day
Outside
Remote
London, England, United Kingdom
Summary: Harnham is seeking a Lead Analytics Engineer to enhance their Snowflake data platform within a collaborative team. The role involves hands-on development, optimization of data models, and ensuring high-quality data assets. The position offers a remote, contractor-friendly environment with a focus on impactful data engineering projects. Candidates will engage in a structured interview process that includes a case study and technical discussions.
Key Responsibilities:
- 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
Key Skills:
- 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
Salary (Rate): £550.00/daily
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Mid-Level
Industry: IT
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
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.
What You'll Be Doing
- 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
Who We're Looking For
- 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
Why This Role
- 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
Interview Process
- 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