9 дней назад
Staff Data Engineer (Sponsored Content & Products)
85 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Engineer (Sponsored Content & Products) (Python/data infrastructure): Building scalable Reverse ETL replication pipelines and data architectures for self-serve CPC bidding marketplaces with an accent on storage selection, physical and logical data modeling, and pipeline modernization. Focus on designing high-throughput data flows, migrating custom processing systems securely, and maintaining observability, reliability, and long-term infrastructure health.
Location: Hamburg, Germany
Salary: From €85,000 gross yearly
Company
European e-commerce company operating at the intersection of fashion and technology, building personalized online shopping experiences and retail media products.
What you will do
- Design, build, and maintain high-throughput Reverse ETL replication pipelines connecting central platform systems with client-facing reporting tools.
- Evaluate data structures and select suitable storage and processing technologies, including MySQL, OpenSearch, BigQuery, and ClickHouse.
- Lead the migration of custom data-processing pipelines to a modern, scalable architecture through secure transition steps.
- Define performant physical and logical data models with Backend and Analytics Engineers.
- Improve operational excellence through monitoring, reliability engineering, telemetry, and application health management.
- Set engineering standards and evaluate architectural and technical trade-offs.
Requirements
- 5+ years of professional experience in data platform engineering and 7+ years of total professional engineering experience.
- Strong Python skills for custom data loading logic, validation drivers, and cluster-executed synchronization utilities.
- Expertise in automated, event-driven batch architectures, state tracking, asset sensors, and task dependency graphs.
- Advanced knowledge of relational and analytical databases, including MySQL transaction isolation and query tuning, ClickHouse, OpenSearch, and BigQuery.
- Experience with resource monitoring, pipeline runtime logging, and centralized alerts using platforms such as Datadog.
- Strong communication, autonomous ownership, pragmatic problem solving, and collaboration with infrastructure teams.
Nice to have
- Experience with Dagster or similar modern data orchestrators.
- Working knowledge of dbt.
- Experience in e-commerce, retail technology, or ad-tech.
- Ability to read object-oriented PHP and Laravel code.
Culture & Benefits
- Flat hierarchies, direct communication, pragmatic decisions, and clear ownership.
- Inclusive environment that values different backgrounds and perspectives.
- Team lunches, afterwork drinks, company events, and informal social interaction.
- Additional employee benefits are provided through the company benefits program.
Hiring process
- Apply online through the career page.
- The hiring team will respond after reviewing the application.
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