ABOUT SINCH

Sinch is pioneering the way the world communicates. More than 150,000 businesses — including Google, Uber, Paypal, Visa, Tinder, and many others — rely on Sinch’s Customer Communications Cloud to power engaging customer experiences through mobile messaging, voice, and email.

Whether you need to verify users or craft omnichannel campaigns, Sinch makes it easy. Our AI-infused Super Network, APIs, and applications ensure you can connect with your customers reliably and securely, at every step of their journey.

At Sinch we “Dream Big”, “Win Together”, “Keep it simple”, and “Make it Happen”. These values are our foundation

DESCRIPTION

The Data Engineer – Data & Automation builds the data pipelines, automations, and internal tools that help Sinch's customer-facing teams work faster, and measures the results.

Reporting to the Director, Operational Excellence, this role is part of Integral Customer Excellence and works with Customer Support, Customer Onboarding, Policy Assurance, Sales, Customer Success, Product, and Engineering.



Operational Excellence maps how the teams work, builds the improvements, and measures them. This role does the building and the measuring.

Main responsibilities:

• Build and maintain data pipelines from support, onboarding, and billing systems (Zendesk, Jira, and internal platforms).

• Design, build, and deploy automations, integrations, and internal tools that remove manual steps from team workflows.

• Build integrations between Zendesk and internal systems using APIs and webhooks.

• Build data models, dashboards, and reports that teams and leadership use every day, including the operational metrics the teams are measured on.

• Capture a baseline before each improvement and measure the result after release.

• Share ownership of the team's platform: architecture, version control, deployment, monitoring, and documentation.

• Use AI tools where they add value, and check their output against real data before teams rely on it.

📌 Data Engineer (Ciudad de México)
🏢 Sinch
📍 Ciudad de México