Ebury
fintech
SeniorAnalyticsEngineer-Treasury&ExposureManagement
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Analytics Engineer - Treasury & Exposure Management at Ebury. Skills: analytics engineering, dbt, SQL, data modeling. architecting a multi-domain roadmap. diving into the IDE to ship a critical fix”
What You'll Achieve.
ensure high reliability; catch anomalies before they reach the business; build, robustly test, and optimize complex models; a sense of what makes a data product trustworthy and maintainable; a sense of what makes a data product trustworthy, maintainable, and valuable to the end user
Industry & Context.
problem-solving
What They're Looking For.
Must Have
4+ years experience in similar roles, solid analytics engineering background, dbt, SQL, data modeling, Fluency in English
Nice to Have
Spanish is a plus
What You'll Do.
architecting a multi-domain roadmap
diving into the IDE to ship a critical fix
monitor and govern data products to ensure high reliability
design and propose ongoing alerting frameworks to catch anomalies
Deliver hands-on data models using modern software engineering practices
Manage overall pipeline orchestration using Airflow
How You'll Work.
Team & Collaboration
Collaborate with team members to reinforce best practices across the platform; encouraging a shared commitment to quality
Full Job Description
Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. Senior Analytics Engineer - Treasury you are equally comfortable architecting a multi-domain roadmap as you are diving into the IDE to ship a critical fix Proactively monitor and govern data products to ensure high reliability. You will design and propose ongoing alerting frameworks to catch anomalies before they reach the business. Deliver hands-on data models using modern software engineering practices (version control, testing, and CI/CD). Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality. Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer). Contribute to and promote best practices for query development, version control, code review, documentation, and testing What we’re looking for: 4+ years experience in similar roles, solid analytics engineering background — dbt, SQL, data modeling, and a strong sense of what makes a data product trustworthy and maintainable. High proficiency in SQL with the ability to build, robustly test, and optimize complex models. A strong sense of what makes a data product trustworthy, maintainable, and valuable to the end user. Finance domain knowledge, you understand how financial data works: P&L, FX, exposure, reconciliation. Experience with (or a genuine curiosity for) Domain-Driven Design and how it shapes team ownership and data structure. Fluency in English (Spanish is a plus). #LI-JC1 #LI-HYBRID About us Ebury delivers sophisticated, integrated solutions — business ac
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