Senior Analytics Engineer - Brand Analytics (Ecommerce)

Location: Hamburg, Germany; hybrid workplace

Salary: €70,000–€85,000 gross yearly

Company

hirify.global is a European ecommerce company operating at the intersection of fashion and technology, with a focus on personalizing and simplifying online shopping.

What you will do

• Design, build, and maintain production-grade analytical transformations and metric definitions in Google BigQuery for performance and budget reporting in bidding marketplaces.
• Establish automated data validation frameworks, schema checks, regression assertions, and data quality tests for reporting dashboards and analytical tables.
• Lead the migration of analytical transformation rules and aggregation queries from legacy application repositories into modular analytics environments.
• Partner with Data Engineers to define clean data-modeling boundaries for shared catalog assets such as products and brands.
• Set analytics engineering standards, code-reuse conventions, and reusable data blueprints.

Requirements

• Expertise in modular, performance-optimized analytical data models and scalable incremental transformations.
• Advanced SQL skills and extensive native experience with cloud-based big data platforms such as Google BigQuery.
• Practical familiarity with modern workflow orchestrators such as Dagster and event-driven pipeline schedules.
• Extensive experience writing declarative data checks, regression validation assertions, and data quality tests.
• Proficiency with Git, structured code review processes, and automated deployment infrastructure such as GitLab CI/CD pipelines.
• Ability to turn loose business descriptions into structured, reliable, standardized metrics environments.
• Ability to explain complex database schemas, transformation decisions, and analytical definitions to software developers.
• Strong motivation to establish data blueprints in a technical greenfield environment.

Nice to have

• Hands-on experience with dbt for version-controlled analytical modeling codebases, validation schemas, and deployment workflows.
• Experience in ecommerce, retail technology, or ad-tech, including web analytics tracking, funnel parameters, or advertising performance metrics.

Culture & Benefits

• Flat hierarchies, direct communication, pragmatic decisions, and clear ownership.
• Autonomous, greenfield-like environment created through the transition from one monolith to four specialized product teams.
• Inclusive environment focused on acceptance, inclusion, and diverse perspectives.
• Team lunches, afterwork drinks, company events, and other team activities.
• Additional employee perks are provided through the company benefits program.

Hiring process

• Apply online through the company career page.