Middle Data Engineer

About the Client 

An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges.
 

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)

   

What You Bring 

• Strong experience with Google Cloud Platform (GCP) e.g. 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 (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
• Experience working 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 (e.g., Professional Data Engineer or similar) will be considered a strong advantage.
• Experience with Amazon Web Services (AWS)
• 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