Analytics Engineer (Data Modelling)

TL;DR

Analytics Engineer (Data Modelling): Building and optimizing high-quality data assets and maintaining the semantic layer in a cloud-based data platform with an accent on dbt, BigQuery, and Looker. Focus on standardizing metrics, elevating data quality, and enabling self-serve analytics for business impact.

Location: London office / Hybrid (2 days per week in the office)

Company

hirify.global is the UK's largest online property portal, providing tools and resources to simplify moving for millions of users.

What you will do

• Model, build, and productionise robust data assets using dbt and BigQuery.
• Maintain and evolve the semantic layer in Looker for consistent, self-serve analytics.
• Ensure data is transformed, tested, and of high quality for downstream users.
• Collaborate with analysts, product managers, and engineers to deliver trusted data models.
• Document and expose data assets to be easy to understand and use.
• Apply and advocate engineering best practices across analytics codebases.

Requirements

• 3–5 years of proven experience in analytics engineering or data modelling on production-grade data models within a large-scale, cloud-based data platform.
• Hands-on experience with dbt and modular data modelling best practices.
• Confident writing and optimising complex SQL queries in BigQuery (or Redshift/Snowflake).
• Experience working with Looker (Core) and maintaining semantic layers (LookML).
• Experience working in a production environment where data models power business-critical reporting and dashboards.
• Understands the importance of documentation, testing, and version control (Git) in analytics workflows.
• Experience working in a cloud-native environment (GCP highly preferred, also AWS).

Culture & Benefits

• Cash plan for dental, optical, and physio treatments.
• Private Medical Insurance, Pension, Life Insurance, Employee Assistance Plan.
• 27 days holiday plus two (paid) volunteering days a year and holiday buy schemes.
• Hybrid working pattern with 2 days in office.
• Paid leave for maternity, paternity, adoption & fertility.
• Access to deals and discounts on travel, electronics, fashion, gym memberships, and cinema.