Analytics Engineer (Snowflake, dbt)

TL;DR

Analytics Engineer (Snowflake/dbt): Building trusted, reusable data products and curated datasets to power business analytics and decision-making with an accent on data modelling and semantic layer development. Focus on transforming complex raw data into high-quality business-ready datasets and establishing automated data quality testing standards.

Location: Holborn, London

Company

hirify.global is one of the largest and most diverse media and entertainment companies in the UK.

What you will do

• Design, build and maintain scalable, reusable data models for BI, product and data science use cases.
• Transform complex raw data into curated datasets and develop reusable semantic layers and core entities.
• Build automated checks for data freshness, completeness, consistency and accuracy.
• Establish testing standards including schema, business rule and metric validation.
• Partner with Analytics, Product and Data Science stakeholders to translate requirements into robust data models.
• Maintain clear documentation to improve discoverability and usability of datasets across the organization.

Requirements

• Experience in an Analytics Engineering or closely related data role.
• Proven ability to design and maintain scalable, well-documented data models.
• Proficiency in writing complex, efficient SQL and experience with dbt and/or Python.
• Hands-on experience with cloud platforms, ideally Snowflake.
• Experience with orchestration tools (e.g., Airflow), Git, and CI/CD.
• Experience with AWS cloud services and familiarity with Agile methodologies (Jira).

Culture & Benefits

• Opportunity to work with some of the largest and most diverse datasets in UK media.
• High degree of end-to-end ownership over key data products.
• Supportive, kind, and inclusive team culture that invests in people.
• Commitment to diversity and accessibility in the workplace.