Senior Data Engineer

Confluence is a leading global technology solutions provider to the investment management industry, and they are seeking a Senior Data Engineer to help design and deliver scalable data solutions. The role involves taking ownership of key components of the data platform and collaborating with teams to solve complex data challenges.

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