
501 - 1000 employees
Founded 1991
💸 Finance
💳 Fintech
☁️ SaaS
Finance • Fintech • SaaS
Confluence is a global leader in data-driven investment management solutions. The company partners with clients to deliver products and services designed to optimize efficiency and control in financial operations. Confluence offers sophisticated portfolio analytics solutions, multi-asset risk management, integrated data management, and regulatory compliance services. This empowers organizations to transform raw data into meaningful insights and meet complex data challenges, enhance performance, and comply with global regulatory requirements. Confluence's client base includes institutional investors, asset managers, and service providers, who rely on its solutions for performance measurement, risk analytics, comprehensive reporting, and investor communication.
🕒 June 8
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501 - 1000 employees
Founded 1991
💸 Finance
💳 Fintech
☁️ SaaS
Finance • Fintech • SaaS
Confluence is a global leader in data-driven investment management solutions. The company partners with clients to deliver products and services designed to optimize efficiency and control in financial operations. Confluence offers sophisticated portfolio analytics solutions, multi-asset risk management, integrated data management, and regulatory compliance services. This empowers organizations to transform raw data into meaningful insights and meet complex data challenges, enhance performance, and comply with global regulatory requirements. Confluence's client base includes institutional investors, asset managers, and service providers, who rely on its solutions for performance measurement, risk analytics, comprehensive reporting, and investor communication.
• 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. • Solve complex data challenges through clean, maintainable code.
• 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 (Nice to Have) • Familiarity with orchestration tools such as Airflow or AWS Step Functions (Nice to Have) • Exposure to streaming or near real-time data pipelines (Nice to Have)
• Generous Time Off packages including additional half days with each public holiday in your location. • Global Career Development opportunities • Social Events • Referral Bonus scheme - Upto $3,000 per successful referral • Plus many more!
Apply Now🕒 May 23
1001 - 5000
🤝 B2B
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☁️ SaaS
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🗣️🇫🇷 French Required
🕒 April 6
501 - 1000
☁️ SaaS
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