Analytics Engineer - Looker

Harnham; London; Remote; GBP 50,000 - 55,000; Full time

Job summary

Join a high-growth consumer business as an Analytics Engineer, where you'll reshape data modeling and access across teams. In this role, you'll lead the design and implementation of a new semantic layer in Looker, ensuring clarity and usability in analytics. This dynamic environment values autonomy and quality, offering you the chance to make a significant impact on the organization's data-driven decisions. If you're passionate about analytics and eager to work in a collaborative, remote-first setting, this opportunity is perfect for you.

Qualifications

• Advanced experience with Looker and LookML, including semantic layer modeling.
• Strong proficiency in SQL and dbt for data modeling best practices.

Responsibilities

• Lead the design and delivery of a new semantic layer in Looker.
• Collaborate with business teams to deliver intuitive analytics experiences.

Skills

Looker

LookML

SQL

dbt

Data Modeling

Communication Skills

Education

Bachelor's Degree in Computer Science or related field

Tools

BigQuery

Job description

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Building Data Engineering contract teams across the UK │The Talent Driving the Data and AI Revolution

ANALYTICS ENGINEER - LOOKER

5-MONTH CONTRACT

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 BigQuery.

Supporting a stakeholder-first approach to data usability and access.

KEY SKILLS AND REQUIREMENTS

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 BigQuery 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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Data Infrastructure and Analytics

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