Germany
Terra Quantum
ABOUT YOU SE & Co. KG
Staff Data Engineer - Sponsored Content & Products (all genders)
Germany
Hamburg, Germany
PythonPHP
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Company Description
ABOUT YOU is one of the fastest-growing e-commerce companies in Europe. With offices in Hamburg and Berlin, we bring fashion and technology together. Our mission is to rethink online shopping and make it more personal. This requires more than just good ideas; it requires people who show initiative and challenge the status quo. We rely on flat hierarchies, direct communication, and pragmatic decision-making. There are no long approval processes here. We work with dedication while also making sure to enjoy our time together, whether at team lunches, after-work drinks, company events, or a quick coffee between meetings.
Job Description
The Sponsored Content & Products team is a central growth driver. The goal is to build highly scalable self-serve marketplaces on a cost-per-click (CPC) basis. 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.
A place where you can be yourself.
We see it as our responsibility to create an environment where everyone can feel as welcome as they are.
Different backgrounds and perspectives make us stronger and shape our culture.
What we stand for internally, we also stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.
- Connecting platform and application layers: Design, build, and maintain high-throughput reverse-ETL replication pipelines to bridge the gap between central core platform systems and customer-facing 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.
- Evaluating storage & data modeling: Actively evaluate whether data is correctly structured for respective downstream use cases, and make strategic technical decisions on whether workloads belong in relational engines (MySQL aggregates), fast search index layouts (OpenSearch), cloud warehouses (BigQuery), or columnar 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: Strengthen operational excellence across our entire data infrastructure by prioritizing proactive monitoring, system reliability, and overall application stability just as much as building new pipelines.
- Balancing innovation and stability: Maintain a very high standard for data infrastructure stability and ensure that long-term maintainability is given the same priority as delivering new features.
- Setting engineering standards and weighing technical trade-offs.
Qualifications
- More than 5 years of professional experience in data platform engineering.
- More than 7 years of total professional experience in software engineering.
- Programming languages: Solid knowledge of Python for writing custom data loading logic, data validation drivers, and cluster-based synchronization programs.
- Batch workflow orchestration: Solid 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.
- Database architecture: Advanced understanding of relational and analytical database engines, as well as solid knowledge of when to use transactional relational setups (MySQL transaction isolation levels, query performance tuning) versus highly optimized columnar/document-based architectures (ClickHouse, OpenSearch, BigQuery).
- Observability & telemetry: Experience in tracking system resources, logging pipeline runtimes, and setting up central data alerts in monitoring platforms like Datadog.
- Pragmatic & solution-oriented mindset: A hands-on problem solver who values secure, stable migration steps rather than premature optimization or over-engineering.
- Effective communication: Ability to clearly and simply convey complex architectural 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 work productively with central infrastructure teams to coordinate data handovers, platform boundaries, and information architecture.
Nice to have
- Modern data orchestrators: Experience with modern data orchestrators like Dagster or similar tools.
- Data transformation: Practical knowledge of dbt to effectively collaborate with and support analytics engineers.
- Domain expertise: Prior experience in an e-commerce, retail tech, or AdTech ecosystem with a solid understanding of commercial retail workflows or funnel metrics.
- Practical familiarity 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.
Additional Information
Your benefits at a glance: Visit our benefits page.
Compensation: from EUR 85000 - annually
Simply apply online via our career page - we will get back to you with feedback as soon as possible!
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