Analytics Engineer

TL;DR

Analytics Engineer: Building and maintaining the analytics layer including data transformations, marts, and semantic models with an accent on data quality, modeling, and business metric implementation. Focus on designing clean, trustworthy datasets and collaborating on data platform optimization and performance.

Location: Hybrid (United Kingdom)

Salary: £79,000 - £95,000 GBP annually

Company

hirify.global is the world’s #1 health & fitness app focused on female health, backed by a $200M investment and a $1B valuation in 2024.

What you will do

• Build and maintain analytics data environment including transformations and semantic models.
• Partner with analysts and finance to define and implement core product and business metrics.
• Provide clean, well-documented datasets and BI models to accelerate insights and reporting.
• Apply validation, testing, and documentation standards to ensure data quality and trust.
• Collaborate on data ingestion, architecture, and performance optimization.
• Own end-to-end data flows from event tracking to dashboards.

Requirements

• 5+ years experience in analytics engineering, data engineering, or data analysis.
• Excellent SQL and solid Python skills for ETL/ELT and automation.
• Experience with data modeling techniques and modern data stack tools (Databricks, Airflow, Spark).
• Knowledge of data warehousing concepts, testing, version control (Git, CI/CD).
• Experience with BI tools such as Looker, Tableau, or PowerBI.
• English: B2 level or higher required.

Culture & Benefits

• Competitive salary with annual reviews and performance incentives.
• Paid holiday, sick leave, female health leave, and enhanced parental leave.
• Flexible office and home working with up to 2 months working abroad.
• 5-week fully paid sabbatical after 5 years.
• Health, pension, and wellbeing perks including Flo Premium for friends and family.