Payments Data Engineer: Reconciliation & Dashboards

WhateverAI; Santiago; Híbrido; CLP 13.392.000 - 20.088.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Office in Santiago

Stock options

Annual L&D budget

Paid leave

Health and life insurance

Meal + childcare allowances

Sabbatical after 3 years

Referral bonus

Descripción de la vacante

SumUp is building and stabilising data infrastructure for its Latin American acquiring business from the Santiago office. You will own data models and pipelines for reconciliation, cost visibility, and multi-acquiring analytics, and create dashboards and automated data workflows to support daily decisions.

The role requires hands-on work with financial data, strong SQL/dbt skills, and the ability to operate in ambiguous environments while collaborating with global teams.

Formación

• Hands-on experience building and maintaining data models and pipelines using SQL, dbt, or equivalent tools.

Responsabilidades

• Own and maintain data models and pipelines supporting clearing-to-settlement reconciliation, cost visibility, and multi-acquiring analytics.
• Build and stabilise operational dashboards and alerts for day-to-day decisions across the Payments cell.
• Support accounting closures with reliable, automated data pipelines, reducing manual effort and increasing accuracy.
• Reduce operational data work through automation, alerting, and standardised processes as the team scales to new markets and acquirers.
• Act as a technical bridge across CoreOps cells and with global teams, translating operational needs into data solutions.

Conocimientos

SQL

dbt

Data modeling

Pipelines

Financial data

Descripción del empleo

SumUp is building and stabilising data infrastructure for its Latin American acquiring business from the Santiago office. You will own data models and pipelines for reconciliation, cost visibility, and multi-acquiring analytics, and create dashboards and automated data workflows to support daily decisions.

The role requires hands-on work with financial data, strong SQL/dbt skills, and the ability to operate in ambiguous environments while collaborating with global teams.