Senior Analytics Engineer (Retail Media)

TL;DR

Senior Analytics Engineer (Retail Media): Building and maintaining production-grade analytical data transformations and metrics definitions for bidding marketplaces with an accent on data quality, schema governance, and migration from legacy systems. Focus on designing modular data models in BigQuery, establishing automated validation frameworks, and partnering with engineering teams to decouple analytical assets.

Location: Hamburg, Germany

Compensation: €65,000–€75,000 yearly

Company

hirify.global is a fast-growing European e-commerce company operating at the intersection of fashion and technology, focused on creating personalized and seamless online shopping experiences.

What you will do

• Design, build, and maintain production-grade analytical data transformations and metrics within Google BigQuery.
• Establish automated data validation frameworks and schema checks to ensure high data quality for reporting dashboards.
• Lead the migration of complex legacy transformation rules into modular, decoupled analytics environments.
• Partner with Data Engineers to engineer clean data modeling boundaries for shared catalog assets.
• Set analytics engineering standards, code-reuse conventions, and reusable data blueprints.

Requirements

• Expertise in designing modular, performance-optimized analytical data models and incremental transformations.
• Advanced SQL mastery and extensive experience with cloud-based big data platforms like Google BigQuery.
• Practical familiarity with workflow orchestrators such as Dagster.
• Experience writing declarative data checks, regression validation, and data quality tests.
• Proficiency with Git version control and automated deployment infrastructure like GitLab CI/CD.
• Strong communication skills to convey complex database schemas and analytical definitions to software developers.

Nice to have

• Hands-on experience with dbt (Data Build Tool) for managing modeling codebases and workflows.
• Prior experience in e-commerce, retail tech, or ad-tech ecosystems.
• Understanding of web analytics tracking, funnel parameters, or ad performance metrics.

Culture & Benefits

• Flat hierarchies and a culture of ownership, trust, and clear responsibility.
• Pragmatic decision-making environment with minimal approval chains.
• Focus on inclusion and acceptance within a diverse, international team.
• Regular team events, after-work drinks, and a collaborative office environment.