Sr. Data/Machine Learning Engineer

Beschreibung

Job Zusammenfassung In dieser Rolle baust du leistungsstarke Datenpipelines und Feature-Stores für KI-gestützte Systeme im digitalen Advertising, um präzise und konsistente Modelldaten bereitzustellen. Job Zusammenfassung In dieser Rolle baust du leistungsstarke Datenpipelines und Feature-Stores für KI-gestützte Systeme im digitalen Advertising, um präzise und konsistente Modelldaten bereitzustellen. Deine Rolle im Team Drive transformative innovation by building and scaling the data and AI feature infrastructure for AI-powered ranking, bidding and recommendation systems in digital advertising. Lead the design and implementation of high-performance data pipelines and feature stores that ensure data consistency, low latency, and reliability. As a technical leader, you will elevate our feature engineering and data delivery capabilities, enabling advanced modeling at scale and shaping the future of data-driven decision-making. Unsere Erwartungen an dich Qualifikationen The ideal candidate will demonstrate exceptional Data Engineering & Infrastructure Mastery. Mastery in designing and building efficient data pipelines to feed AI ranking, bidding and recommendation systems. Expertise in implementing and maintaining Feature Stores (online and offline) for fast and consistent feature serving to ML models. Advanced knowledge of streaming data technologies (e.g., Kafka, Pub/Sub) and large-scale data processing engines (e.g., Spark, Flink) in a cloud environment (GCP/AWS). In-depth understanding of AdTech data sources (eg bid request logs, server logs, front-end events) and the infrastructure required to process them. Advanced proficiency in Python (for building robust ETL/ELT) and SQL (for data modeling and warehousing). Strong foundation in data modeling, schema design, and ensuring data quality/integrity for high-volume ML features. Ability to design reliable, scalable systems that support complex feature transformations required for multi-objective optimisation models. A track record of designing and deploying high-performance data pipelines and feature infrastructure in production, with measurable stability and performance. A history of mentoring junior engineers and driving alignment on data infrastructure standards across engineering and data organizations. Erfahrung Proven experience building data flows that support the feature engineering necessary to optimise CPC, CPA, and ROAS metrics for advertisers. Experience influencing data architecture strategy and driving adoption of best practices for data consumption by Data Science teams. Benefits Essen & Trinken 🍏 Frisches Obst 🥪 Snacks, Süßigkeiten Work-Life-Integration 🧳 Relocation Package 🏠 Home Office ⏰ Flexible Arbeitszeiten 🍼 Kinderbetreuung Gesundheit, Fitness & Fun 🎳 Team Events 🧘‍♀️ Massage, Yoga o. A. Themen mit denen du dich im Job beschäftigst Machine Learning AdTech AI Metadaten Level: Senior Job Feld: IT, Data, DevOps Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Etablierte Firma Branche: Handel Ort: Berlin | Deutschland

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