Senior Data Engineer
At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. And it stands to reason that none of this would have been possible without the hundreds of hard-working employees who work at Confluence.
Why Join Us?
- Work on meaningful data challenges that have real business impact
- Collaborate with a supportive and knowledgeable team
- Opportunity to influence architecture and engineering standards
- Grow your leadership skills through mentoring and project ownership
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.
Applicants must be within a commutable distance (within 2 hours or 80 miles) of one of the listed offices.
- 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
Nice to Have
- 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
If you believe that this job posting is noncompliant, please email us at recruitment@confluence.com.
Pre-Employment Screening Disclaimer
As part of our recruitment process, we carry out identity checks on all candidates. Offers of employment are conditional upon the completion of satisfactory background checks prior to the commencement of work. These checks may include verification of identity, right to work in the UK, employment history, and other relevant pre-employment screening.