Senior Data Engineer - Sponsored Content & Products (all genders) Hamburg, Germany

About You - Collins GmbH & Co. KG; Hamburg; On-site; EUR 90,000 - 120,000; Full time

Job summary

About You - Collins GmbH & Co. KG in Hamburg seeks a Data Platform Engineer to own and evolve our data infrastructure. You will design and implement scalable pipelines, partnering with Backend and Analytics Engineers to shape a modern data architecture.

You will evaluate storage and data modeling options (MySQL, OpenSearch, BigQuery, ClickHouse) and drive reliability and performance at scale.

Responsibilities

• Bridge platform and application layers: design, build, and maintain high-throughput Reverse ETL pipelines.
• Evaluate storage and data modeling: decide if workloads belong in MySQL, OpenSearch, BigQuery, or ClickHouse.
• Pipeline modernization: lead migration of data processing pipelines to a modern scalable architecture.
• Cross-functional information architecture: collaborate with Backend and Analytics Engineers on data structures.
• Drive operational excellence: monitor systems, ensure reliability, and health of data infra.
• Balance innovation with stability: maintain long-term maintainability while delivering new features.
• Set engineering standards, evaluate trade-offs.

Skills

Data modeling

Data pipeline design

Architectural design

Cross-functional collaboration

Tools

OpenSearch

BigQuery

ClickHouse

MySQL

Job description

TheSponsored Content & Productsteam is a key growth driver. Its mission is to buildhighly scalable self-serve cost-per-click (CPC) bidding marketplacesthat empower brands to efficiently boost their visibility in real time right at the digital point of sale.

While operating within an existing ecosystem, the architecturaltransition from a single monolith into four specialized product teamsprovides ahighly autonomous, greenfield-like environmentwhere your design decisions will directly shape our future state and enable us tomultiply our Retail Media revenue.

• Bridge Platform & Application Layers:Design, build and maintain high-throughput Reverse ETL replication pipelinesthat bridge the gap between central core platform systems and client-facing reporting tools
• Evaluate Storage & Data Modeling:Actively evaluate whether data is structured correctly for their downstream use cases. Command strategic technical decisions on whether workloads belong in relational engines (MySQL aggregates), fast search indexing layouts (OpenSearch), cloud warehouses (BigQuery), or columnar storage (ClickHouse)
• Pipeline Modernization:Take lead in the migration of our current custom data processing pipelines into a modern, scalable data architecture through a secure transition path
• Cross-Functional Information Architecture:Partner closely with Backend Engineers and Analytics Engineers to map out highly performant, scalable data structures, taking ownership over physical and logical modeling boundaries
• Drive Operational Excellence:Promote operational excellence across our data infrastructure by prioritizing proactive monitoring, system reliability, and overall application health just as much as building new pipelines
• Balance Innovation with Stability:Cultivate a very high standard of data infrastructure health, ensuring that long-term maintainability is valued equally with delivering new features
• Set engineering standards, evaluate technical trade-offs