At a Glance
- Tasks: Lead the design and delivery of a new analytics platform using Looker and Snowflake.
- Company: Fast-scaling digital business focused on data-driven decision-making.
- Benefits: Competitive daily rate, remote work, and the chance to shape best practices.
- Other info: Opportunity for career growth in a collaborative, remote-first team.
- Why this job: Make a lasting impact on how data empowers the organisation in a dynamic environment.
- Qualifications: Experience with Snowflake, SQL, dbt, and strong communication skills.
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.
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.
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:
- Ingest and migrate data sets into their AWS Snowflake platform.
- Designing and implementing dbt models that power clean, consistent metrics.
- Build out orchestration pipelines using Airflow.
- Creating clear documentation for dashboards, metrics, and models.
- Ensuring optimal performance and cost efficiency across Snowflake.
- Supporting a stakeholder-first approach to data usability and access.
Key Skills and Requirements
- Extensive experience operating within Snowflake environments.
- Airflow for data orchestration.
- 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.
Please register your interest by sending your CV via the apply link on this page.
Analytics Engineer in London employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
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