Senior Data Engineer

Confluence is a leading global technology solutions provider to the investment management industry. They are seeking a Senior Data Engineer to design and deliver scalable data solutions, taking ownership of key components of the data platform and collaborating with various teams.

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

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
• 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