Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable data pipelines, lead migrations to modern data architectures, and optimize data models to establish a foundation for efficient reporting in a dynamic e-commerce environment.
Job Technologies
Your role in the team
- The Sponsored Content & Products team is a key driver of growth. The goal is to build highly scalable self-serve marketplaces based on Cost-per-Click (CPC). These enable brands to efficiently increase their visibility in real-time directly at the digital point of sale.
- Although we operate within an existing ecosystem, the architectural transition from a monolith to four specialized product teams offers a highly autonomous, Greenfield-like environment. Your design decisions will significantly shape our future tech stack and help us multiply our retail media revenue.
- Connecting platform and application layers: Designing, building, and maintaining high-throughput reverse ETL replication pipelines to bridge the gap between core central platform systems and customer-oriented reporting tools.
- Pipeline Modernization: Lead the migration of our current, custom data processing pipelines into a modern, scalable data architecture via a secure migration path.
- Assess storage & data modeling: Actively evaluate whether data is correctly structured for the respective downstream use cases, and make strategic technical decisions about whether workloads belong to relational engines (MySQL aggregates), fast search index layouts (OpenSearch), cloud warehouses (BigQuery), or column-oriented storage (ClickHouse).
- Cross-functional information architecture: Collaborate closely with backend engineers and analytics engineers to design high-performance, scalable data structures, taking responsibility for physical and logical modeling boundaries.
- Driving Operational Excellence: Strengthening operational excellence across our entire data infrastructure by prioritizing proactive monitoring, system reliability, and overall application stability just as much as building new pipelines.
- Balance between innovation and stability: Maintain a very high standard for the stability of the data infrastructure and ensure that long-term maintainability is valued as much as the delivery of new features.
- Set engineering standards and weigh technical compromises.
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Our expectations of you
Qualifications
- Programming languages: Solid knowledge of Python for writing custom data loading logic, data validation drivers, and cluster-based synchronization programs.
- Database architecture: Advanced understanding of relational and analytical database engines as well as in-depth knowledge of when to use transactional relational setups (MySQL transaction isolation levels, query performance tuning) versus highly optimized column-oriented/document-based architectures (ClickHouse, OpenSearch, BigQuery).
- Pragmatic and solution-oriented mindset: A practical problem solver who values secure, stable migration steps rather than premature optimization or over-engineering.
- Effective communication: Ability to clearly and simply convey complex architecture concepts, technical designs, and performance trade-offs.
- High autonomy & proactive ownership: motivated to work independently and take responsibility for data initiatives.
- Team-oriented: Ability to collaborate productively with central infrastructure teams to coordinate data handovers, platform boundaries, and information architecture.
- Data transformation: Practical knowledge of dbt to collaborate effectively with analytics engineers and support them.
- Practical familiarity with or the ability to read object-oriented PHP and frameworks like Laravel is a highly valued bonus, as our existing legacy pipeline and our own orchestrator run natively in this environment.
Experience
- More than 5 years of professional experience in Data Platform Engineering.
- More than 7 years of overall professional experience in software engineering.
- Batch workflow orchestration: Extensive experience in building automated, event-driven batch architectures as well as proficiency in configuring status tracking, asset sensors, and task dependency graphs for complex pipeline schedules.
- Observability & Telemetry: Experience in tracking system resources, logging pipeline runtimes, and setting up centralized data alerts in monitoring platforms such as Datadog.
- Modern data orchestrators: experience with modern data orchestrators such as Dagster or similar tools.
- Domain expertise: Prior experience in an e-commerce, retail-tech, or adtech ecosystem with a solid understanding of commercial retail workflows or funnel metrics.
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What we offer
- Visit our benefits page.
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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
3.6Engineering
3.6Culture
3.5
Senior Data Engineer - Sponsored Content & Products
- Location
- Hamburg, Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
