Job
- Level
- Senior
- Location
- Hamburg, Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will design robust analytical data models in Google BigQuery and build automated data validation frameworks to ensure reporting quality for Retail Media partners and drive growth.
Job Technologies
Your role in the team
- The Brand Analytics team is the insights engine: its mission is to empower data-driven decision-making for Retail Media Partners by providing a single source of truth.
- This creates a powerful opportunity for brands to gain deep performance visibility and turn enterprise-scale data into actionable growth strategies.
- While operating within an existing ecosystem, the architectural transition from a single monolith into four specialized product teams provides a highly autonomous, greenfield-like environment where your decisions will directly shape our future state and enable us to multiply our Retail Media revenue.
- Design, build, and maintain production-grade analytical data transformations and metrics definitions within Google BigQuery to enable robust performance and budget reporting for our bidding marketplaces.
- Establish rigorous, automated data validation frameworks and schema checks to shield public-facing reporting dashboards and analytical tables from upstream variance or structural drift.
- Lead the migration of complex analytical transformation rules and data aggregation queries directly out of historical legacy application repositories into modular, decoupled analytics environments.
- Partner with Data Engineers to engineer clean data modeling boundaries around shared catalog assets (such as products and brands) that connect the decentralized product stack with core platform endpoints.
- Set analytics engineering standards, direct code-reuse conventions, and establish reusable data blueprints within the team.
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Our expectations of you
Qualifications
- Expert in designing modular and performance-optimized analytical data models, and building scalable incremental transformations.
- Practical working familiarity with modern workflow orchestrators like Dagster to synchronize data assets and event-driven pipeline schedules.
- Proficiency with Git version control, structured code review flows, and automated deployment infrastructure like GitLab CI/CD pipelines.
- A structural developer who excels at transforming loose business descriptions into highly structured, reliable, and standardized metrics environments.
- Able to cleanly convey complex database schemas, transformation choices, and analytical definitions to software developers.
- Highly driven to establish data blueprints within a technical greenfield context.
Experience
- Advanced SQL mastery and extensive native experience within cloud-based big data platforms (e.g. Google BigQuery).
- Extensive experience writing declarative data checks, regression validation assertions, and data quality tests to enforce strict metric definition compliance.
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What we offer
- Ihre Vorteile auf einen Blick: Besuchen Sie unsere Vorteilsseite.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
About You
As a rapidly growing online fashion retailer in Europe, ABOUT YOU has won multiple awards. As a fashion company and technology company, we work together to make the shopping experience more inspiring and personal for our customers.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Trade, Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(1 Review)3.7
Workingconditions
4.0Career Growth
3.6Culture
3.5Engineering
3.6
Senior Analytics Engineer - Brand Analytics
- Location
- Hamburg, Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
