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

Job Description

The Sponsored Content & Products team is a key growth driver. Its mission is to build highly scalable self-serve cost-per-click (CPC) bidding marketplaces that empower brands to efficiently boost their visibility in real time right at the digital point of sale.

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 design decisions will directly shape our future state and enable us to multiply our Retail Media revenue.

 

• Bridge Platform & Application Layers: Design, build and maintain high-throughput Reverse ETL replication pipelines that bridge the gap between central core platform systems and client-facing reporting tools
• Enforce Data Consistency: Engineer defensive safeguards, validation loops, and circuit breakers around live business data to prevent data drift, budget overspends, or race conditions on live production databases
• 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 Optimization: Partner closely with Backend Engineers, Frontend Engineers, and Product Managers within the Sponsored cluster to design high-performance database schemas and low-latency API contracts
• 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

Qualifications

• 5+ years of professional experience in data platform engineering
• 7+ years of total professional experience in (general) engineering
• Programming Languages: Strong proficiency in Python for writing custom data loading logic, data validation drivers, and cluster-executed sync utilities
• Batch Workflow Orchestration: Expert experience building automated, event-driven batch architectures using modern data orchestrators like Dagster or similar tools.
• Skilled in configuring state tracking, asset sensors, and task dependency graphs for complex pipeline schedules
• Cloud Data Warehousing: Advanced  SQL knowledge and experience working natively within cloud data warehouses like Google BigQuery incl. monitoring compute costs
• Columnar Databases: Working knowledge with modern, high-performance columnar (OLAP) databases like ClickHouse
• Search & KPI Indices: Practical experience implementing and maintaining indexed document stores inside engines like OpenSearch or Elasticsearch
• Data Transformation: Working knowledge of dbt to effectively collaborate and support analytics engineers
• Observability & Telemetry: Experience tracking system resources, logging pipeline runtimes, and setting up centralized data alerts within monitoring platforms like Datadog
• Pragmatic & Solution-Oriented Mindset: A practical problem solver who values executing secure, stable transition steps over premature optimization or over-engineering
• Effective Communicator: Able to convey complex architectural concepts, technical designs and performance trade-offs clearly and simply
• High Autonomy & Proactive Ownership: Motivated to work independently, take charge of data initiatives
• Collaborative: Capable of working productively alongside central infrastructure teams to align on data handoffs, platform boundaries and information architecture

 

Nice To Have:

 

• Domain Expertise: Prior experience working within an e-commerce, retail tech, or ad-tech ecosystem, with a solid understanding of commercial retail workflows or funnel metrics
• Practical familiarity or comfort reading object-oriented PHP and frameworks like Laravel is a highly valued bonus, as our existing legacy pipeline and custom orchestrator live natively inside this environment

Additional Information

Your perks at a glance: Visit our benefits page.

Simply apply online via our career page - we will get back to you as soon as possible!

A Place Where You Can Be You
We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.