Experteer Overview
In this role you will design and build batch and near-real-time data pipelines on a Databricks-based Lakehouse to enable reliable enrichment and AI-driven insights. You will work within the Data Platform and Data Enrichment team, contributing to data trust and customer-focused data products that power Discover and internal tooling. The role combines hands-on engineering with cross-pod collaboration to scale data infrastructure and improve pipeline reliability. You will be part of a mission-driven, pod-based culture that values ownership and continuous learning. This is a chance to shape scalable data foundations and enable impactful analytics for a global brand ecosystem.

Compensaciones / Incentivos
• Design and implement batch and near-real-time data pipelines using PySpark and Databricks across Bronze/Silver/Gold layers
• Architect efficient Delta Lake table schemas, including partitioning, liquid clustering, schema evolution, and enrichment workflows
• Collaborate with product, QA, and other data engineers to translate enrichment and search requirements into reliable pipelines
• Own code quality with structured PySpark jobs,



unit tests (pytest), and team conventions
• Improve pipeline reliability and cost efficiency through scheduling optimization, retry logic, and concurrency management
• Contribute to cross-pod initiatives within the data platform

Responsabilidades
• 3+ years of relevant work experience in a SaaS environment with distributed data processing
• Strong Python and PySpark experience
• Hands-on experience with Lakehouse architectures (Databricks, Delta Lake, or equivalents)
• Familiarity with Bronze/Silver/Gold data design patterns and schema evolution
• Ability to reason about code, understand complex logic, and work with both procedural and object-oriented code
• Self-motivated, adaptable, and able to thrive in a fast-paced, results-oriented setting
• Fluent English

Requisitos principales
• learning and development allowance
• flexible working arrangements
• remote-friendly with home office support
• location-based benefits
• opportunity for growth
• pod autonomy

📌 Data Engineer (Madrid)
🏢 Launchmetrics
📍 Madrid