Staff Data Engineer, Data and AI, Customer Data Platform
Core
Build scalable ETL pipelines and data foundations for the Customer Data Platform to support analytics, machine learning, and AI applications.
Role type
Staff Data Engineer (Data and AI)
Builds
Scalable batch and real-time data pipelines, data models, and data products for the Customer Data Platform
Domain
Financial technology, global commerce, data engineering, and AI
Deliverable
production ML models
Required skills
Scalable ETL pipeline design, batch and streaming workflows, Apache Kafka, Apache Flink, SQL, data warehousing, data modelling, star/snowflake/denormalised schema design, AI best practices
Preferred skills
Google Cloud Platform, Databricks, Airflow, working with globally distributed teams
Technologies
Databricks, DBT, Spark, Apache Kafka, Apache Flink, Google Cloud Platform, Airflow
Responsibilities
Own scalable ETL pipelines across batch and real-time workflows; Build reliable data foundations across data warehouses and cloud infrastructure; Develop data models and data products for operational needs and AI; Apply data engineering and AI best practices to solve practical problems
Seniority
Staff, hands-on IC
