Senior Data Engineer with AWS and GCP

Technologies we use

About the project

Your responsibilities

• Design and implement scalable and secure data pipelines across multi-cloud (GCP & AWS) environments
• 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, provide technical assistance to the team
• 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)

Our requirements

• Strong experience with cloud data services on both Google Cloud Platform (GCP) and Amazon Web Services (AWS) e.g. BigQuery, 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 (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
• 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

Optional

• Knowledge of regulatory reporting, market data, or trade surveillance systems
• Experience with Apache Airflow, DBT, or similar orchestration tools
• Understanding of data security practices and compliance frameworks

This is how we organize our work

This is how we work