Ayming

HQ
Levallois-Perret
Total Offices: 9
1,941 Total Employees
Year Founded: 1986

Ayming Benefits Overview

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides paid sick days

Offers unpaid extended leave

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Compensation + Benefits

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers disability insurance

Offers supplemental life insurance

Offers life insurance

Offers accidental death & dismemberment insurance

Provides family medical leave

Offers generous parental leave

Offers performance bonuses

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Recently posted jobs

10 Hours AgoSaved
In-Office or Remote
Toronto, ON, CAN
HR Tech • Business Intelligence • Consulting • Financial Services
Own day-to-day accounting through trial balance with a focus on revenue recognition and invoicing. Generate and reconcile customer invoices, maintain deferred revenue and AR schedules, support month-end/year-end close, reconcile GL accounts, resolve billing discrepancies, and propose process improvements while partnering with Sales and cross-functional teams.
14 Hours AgoSaved
In-Office
Lisboa, PRT
HR Tech • Business Intelligence • Consulting • Financial Services
Design, build, and maintain data integration and migration pipelines for the Aym‑otion migration. Ensure interoperability, data quality, governance, and pipeline performance. Implement embedded BI dashboards, collaborate with business and IT to gather requirements, and apply best practices in metadata management and reusable pipelines.
2 Days AgoSaved
Hybrid
Madrid, Comunidad de Madrid, ESP
HR Tech • Business Intelligence • Consulting • Financial Services
Partner with business stakeholders to translate requirements into data models, analytical datasets, dashboards, KPIs, and self-service BI. Build and maintain data pipelines in Databricks using SQL and Python, ensure data quality and documentation, integrate local sources, and support Data & AI use case design alongside Data Engineers.