Analytics Engineer

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.
• Buidl out orchestartion 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.

• 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, * sql
• modeling
• airflow
• snowflake
• dbt

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.