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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.

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