Sr. Data/Machine Learning Engineer

Your role in the team

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.