

Harnham
Analytics Engineer (DBT)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Analytics Engineer (DBT) on a 6-month contract, paying £450-£550 per day outside IR35. Key skills include extensive Snowflake experience, advanced Looker and LookML proficiency, SQL, and dbt expertise. Remote work is offered.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
550
-
🗓️ - Date
February 25, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London, England, United Kingdom
-
🧠 - Skills detailed
#Snowflake #Data Modeling #Scala #SQL (Structured Query Language) #Looker #Documentation #dbt (data build tool)
Role description
ANALYTICS ENGINEER
6-MONTH CONTRACT
SNOWFLAKE, DBT
£450-£550 PER DAY OUTSIDE IR35
This role offers a great opportunity for an Analytics Engineer to join a fast-scaling digital business undergoing a complete rebuild of its analytics infrastructure. You'll play a key role in reshaping how data is modeled, accessed, and used across teams - all with a focus on clarity, consistency, and self-serve analytics. The environment values autonomy, quality, and user-first thinking, with the freedom to shape best practices from the ground up.
THE COMPANY
This is a high-growth consumer business committed to data-informed decision-making across marketing, operations, product, finance, and customer success. They're currently rebuilding their analytics platform with modern, scalable tools and need a strong contractor to accelerate this transition. Working in a fast-paced, collaborative, and remote-first environment, you'll make a lasting impact on how data empowers the organisation.
THE ROLE
You'll join the data team to lead the design and delivery of a new semantic layer in Looker. You'll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. You'll also play a critical role in shaping the self-serve analytics experience and ensuring the platform is intuitive, documented, and cost-efficient.
Your responsibilities will include:
• Rebuilding LookML models to reflect real-world business processes and logic.
• Designing and implementing dbt models that power clean, consistent metrics.
• Collaborating with business teams to understand reporting needs and deliver intuitive analytics experiences.
• Creating clear documentation for dashboards, metrics, and models.
• Ensuring optimal performance and cost efficiency across Looker and Snowflake
• Supporting a stakeholder-first approach to data usability and access.
KEY SKILLS AND REQUIREMENTS
• Extensive experience operating within Snowflake environments
• Advanced experience with Looker and LookML, including semantic layer modeling and dashboard design.
• Proficiency in SQL and dbt, with a strong understanding of data modeling best practices.
• Strong communication skills with the ability to translate complex needs into elegant data solutions.
• Focus on usability, documentation, and data clarity.
• Comfortable working independently in a dynamic, fast-changing environment.
DESIRABLE SKILLS
• Experience rebuilding or refactoring a Looker instance from scratch.
• Familiarity with Snowflake performance tuning and cost optimization.
• Experience scaling analytics across a cross-functional organisation
HOW TO APPLY
Please register your interest by sending your CV via the apply link on this page.
ANALYTICS ENGINEER
6-MONTH CONTRACT
SNOWFLAKE, DBT
£450-£550 PER DAY OUTSIDE IR35
This role offers a great opportunity for an Analytics Engineer to join a fast-scaling digital business undergoing a complete rebuild of its analytics infrastructure. You'll play a key role in reshaping how data is modeled, accessed, and used across teams - all with a focus on clarity, consistency, and self-serve analytics. The environment values autonomy, quality, and user-first thinking, with the freedom to shape best practices from the ground up.
THE COMPANY
This is a high-growth consumer business committed to data-informed decision-making across marketing, operations, product, finance, and customer success. They're currently rebuilding their analytics platform with modern, scalable tools and need a strong contractor to accelerate this transition. Working in a fast-paced, collaborative, and remote-first environment, you'll make a lasting impact on how data empowers the organisation.
THE ROLE
You'll join the data team to lead the design and delivery of a new semantic layer in Looker. You'll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. You'll also play a critical role in shaping the self-serve analytics experience and ensuring the platform is intuitive, documented, and cost-efficient.
Your responsibilities will include:
• Rebuilding LookML models to reflect real-world business processes and logic.
• Designing and implementing dbt models that power clean, consistent metrics.
• Collaborating with business teams to understand reporting needs and deliver intuitive analytics experiences.
• Creating clear documentation for dashboards, metrics, and models.
• Ensuring optimal performance and cost efficiency across Looker and Snowflake
• Supporting a stakeholder-first approach to data usability and access.
KEY SKILLS AND REQUIREMENTS
• Extensive experience operating within Snowflake environments
• Advanced experience with Looker and LookML, including semantic layer modeling and dashboard design.
• Proficiency in SQL and dbt, with a strong understanding of data modeling best practices.
• Strong communication skills with the ability to translate complex needs into elegant data solutions.
• Focus on usability, documentation, and data clarity.
• Comfortable working independently in a dynamic, fast-changing environment.
DESIRABLE SKILLS
• Experience rebuilding or refactoring a Looker instance from scratch.
• Familiarity with Snowflake performance tuning and cost optimization.
• Experience scaling analytics across a cross-functional organisation
HOW TO APPLY
Please register your interest by sending your CV via the apply link on this page.





