Senior Data Engineer

Confluence is a global technology solutions provider serving the investment management industry. The company is seeking a Senior Data Engineer to design and deliver scalable data solutions, build reliable data pipelines, contribute to architectural decisions, and mentor other engineers. The role focuses on solving complex data challenges through clean, maintainable code and owning work from design through deployment and monitoring.

Responsibilities:

• Help design and deliver scalable data solutions that power decision-making across the organization
• Take ownership of key components of the data platform, working hands-on with modern tools and technologies to build reliable, high-quality data pipelines
• Collaborate with teams across the business, contribute to architectural decisions, and support the growth of other engineers through mentorship and knowledge sharing
• Take ownership of work end-to-end, from design through to deployment and monitoring

Requirements:

• Solid Python experience in a data engineering environment
• Advanced SQL skills and hands-on experience with Snowflake
• Experience designing and running production-grade ETL pipelines at scale
• Exposure to cloud platforms such as AWS, Azure, or GCP
• Ability to take ownership of work end-to-end, from design through to deployment and monitoring
• If applying in the US we will only consider applications from those who have permanent residency as a US citizen or a Green Card holder
• Experience working with financial or regulated data environments
• Familiarity with orchestration tools such as Airflow or AWS Step Functions
• Exposure to streaming or near real-time data pipelines