Job
In this role, you will build robust data pipelines and feature stores for AI-powered systems in digital advertising to provide precise and consistent model data.
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Job technologies
Your role in the 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.
- Leiten Sie die Gestaltung und Implementierung von hochleistungsfähigen Data Pipelines und Feature Stores, die Datenkonsistenz, geringe Latenz und Zuverlässigkeit gewährleisten.
- 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.
Our expectations of you
Qualifications
- 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 (e.g., 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.
Experience
- 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
Food & drink
Work-Life-Integration
Health, fitness & fun
Topics you will work on
Job locations
About your employer
What started as an ambitious idea is now the leading local delivery company. Delivery Hero is present in around 50 countries across four continents and is on a mission to deliver anything, straight to customers’ doors.
- 2011
- English
- Established Company
- Onsite, Hybrid
- Trade
Employer reviews
- Engineering
- 2.8
- Career growth
- 3.2
- Team culture
- 3.3
- Working conditions
- 3.8
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