Data Engineer, Investments
Core
Design, industrialize, and optimize scalable data pipelines and AI-driven data architecture on Google Cloud Platform for an insurance and wealth management organization.
Role type
Senior Data Engineer (GCP)
Builds
Robust, secure, and scalable ETL/ELT pipelines and data lakehouse architectures on GCP.
Domain
Financial services / Insurance / Wealth management / Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Data pipeline design (ETL/ELT), Google Cloud Platform (GCP) services, Distributed processing (Spark/Dataproc), Pipeline orchestration (Prefect/Airflow), Infrastructure as Code (Terraform), CI/CD, Data modeling (Data Vault/Star Schema), Data governance
Preferred skills
MLOps/DataOps practices, Investment and financial data knowledge, GCP certification
Technologies
Google Cloud Platform, BigQuery, Cloud Storage, Dataproc, Cloud Run, Cloud Workstations, Prefect, GitHub, GitHub Actions, Terraform, VS Code
Responsibilities
Design and maintain high-performance data pipelines on GCP; Orchestrate data processing workflows; Develop and manage source code and CI/CD pipelines; Prepare and transform data for analytics and AI; Implement DevOps/DataOps practices for testing and monitoring; Collaborate with data scientists and business partners to translate needs into technical solutions.
Seniority
Senior, hands-on IC
