For our client, a global leader in insurance technology, we are looking for an experienced Data Engineer with a proven track record in building data solutions and leading AI/ML initiatives on Google Cloud Platform (GCP).
Our client is on an exciting journey to expand their Data & Analytics capabilities to support better data-driven decision-making across the organization.
Design and develop scalable data pipelines using GCP tools (BigQuery, Dataflow, DBT, etc.)
Build and operationalize AI/ML pipelines for training, validation, deployment, and monitoring
Optimize ETL processes and data workflows for performance and scalability
Ensure data quality through testing, monitoring, and validation
Collaborate with cross-functional teams to deliver data-driven solutions
5+ years of experience in Data/ETL Engineering (including 2+ years in GCP)
Hands-on experience with BigQuery, DBT, Apache Airflow, Python, SQL
Solid understanding of AI/ML workflows and data science principles
Experience with cloud-based data platforms and ETL tools (e.g., Talend, Fivetran)
Strong knowledge of data modeling, data warehousing, and performance optimization
Excellent communication and problem-solving skills
100% remote work
B2B contract with paid vacation