CHI Software
Data Engineer with GCP
Remote Senior $4.7k–$12.8k/moest.
Summary
CHI Software is seeking an experienced Data Engineer to work with Google Cloud Platform in a fast-paced financial trading environment. You will design, develop, and maintain scalable data pipelines and infrastructure supporting trading, risk, and compliance functions. This role requires deep expertise in cloud architecture, large-scale data processing, and agile delivery practices.
What you'll do
- Design, build, and maintain scalable data pipelines primarily within Google Cloud Platform
- Develop integration and transformation workflows between cloud data services and on-prem Oracle databases
- Work closely with trading, risk, and analytics teams to understand data requirements and deliver real-time and batch data solutions
- Optimise and monitor performance of data systems to support latency-sensitive trading applications
- Collaborate with cross-functional teams using Agile/Scrum methodologies to deliver business-critical data projects
- Ensure robust data governance, lineage, and compliance including MiFID II, FCA, and other regulatory standards
- Automate data workflows using Terraform, CI/CD pipelines, and containerisation tools (Docker/Kubernetes)
Requirements
- Strong experience with Google Cloud Platform (GCP) including BigQuery, DataPlex, DBT, Pub/Sub, Dataflow, S3, Glue, Redshift
- Expertise in Oracle SQL, PL/SQL, and working with complex stored procedures and large datasets
- Proficiency in programming languages such as Python, Java, or Scala
- Experience with streaming and messaging systems (Jenkins, GitLab) and container orchestration (Kubernetes)
- Experience with Infrastructure as Code, preferably Terraform, to manage cloud data infrastructure
- Deep understanding of data modelling, data warehousing, and ETL/ELT design patterns
- Familiarity with Agile development practices (Scrum, Kanban, Jira)
- Exposure to financial markets, trading systems, or related high-performance environments is a strong plus
- Nice to have: GCP certification, AWS experience, knowledge of regulatory reporting and trade surveillance systems, Apache Airflow or DBT experience, data security and compliance framework knowledge
Conditions
Fast-paced financial trading environment with cross-functional collaboration. Work involves supporting business-critical data projects with emphasis on agile delivery and regulatory compliance.